CONGRESS AND EXHIBITION PROGRAMME Please note – Wi-Fi is available throughout the conference centre and is complimentary.

Guests should select Wi-Fi network: ILEC Conference and type in password: ILECFREEWIFI for free of charge access.

Sponsored by:

Monday 12 June 2017 16.00 onwards

Registration – Room: ILEC Conference Centre Foyer

18.00-20.00 Welcome Buffet – Room: London 9 20.00-22.00 Meeting of the ISCM Management Committee – Room: Hyde Park (first floor)

Tuesday 13 June 2017 08.00 onwards

Registration – Room: ILEC Conference Centre Foyer

08.45-09.15 Opening Ceremony – Professor L Gelman, C Bull and C Sinclair 09.15-09.45 Plenary Keynote Lecture [101] History and future trends of machine condition monitoring – a personal perspective

Professor R B Randall, University of New South Wales Chair: Professor L Gelman Room: London 7 and 8

09.45-10.00 An Introduction to Condition Monitoring and Diagnostic Technologies – Promotion of CM book Professor A Hope Chair: Professor L Gelman Room: London 7 and 8

10.00-10.30 Tea and Coffee Break – Room: London 9

Session 1A – Condition monitoring methods and technologies Chair: Dr T Ciszewski Room: London 7 and 8

Session 1B – Condition monitoring methods and technologies Chair: Professor A Lucifredi Room: London 1

Session 1C – Trained structures and statistical methods in condition monitoring Chair: Professor L Kuravsky Room: London 2

Session 1D – Condition monitoring methods and technologies Chair: Professor A Hope Room: London 3

Session 1E – Vibration condition monitoring methods and technologies Chair: Dr S Ganeriwala Room: London 4

Session 1F – Signal processing: Identification, fault diagnosis and reliability for complex system monitoring – Part 1 Chair: Dr N Martin Room: London 5

10.30-10.50 [102] Novel condition monitoring of induction motor bearings via motor current signature analysis T Ciszewski1, A Dzwonkowski1, L Swędrowski1 and L Gelman2

1Gdańsk University of Technology 2Cranfield University

[103] The diagnosis and prognosis of analogue and digital electronics using biologically-inspired neural networks and artificial intelligence B D McCartney

[104] Applied multi-agent system to study the behaviour of operators of complex technical systems L S Kuravsky, S I Popkov and S L Artemenkov Moscow State University of Psychology and Education

[105] Research on image comparison processing technology in electrical equipment infrared thermography detection Y Yu1,2, G Shen1,2, C Ye1

and Y Li1

1China Special Equipment Inspection and Research Institute (CSEI) 2AKLNDE, China

[106] Probe track run-out identification and compensation to benefit machinery diagnostics

P Barrowclough GE Oil & Gas

[204] Invited overview presentation Signal processing for condition monitoring – exciting challenges ahead Dr N Martin

10.50-11.10 [108] Condition monitoring of superconducting magnets M Wołoszyk1, M Ziółko1, M Michna1, L Swędrowski1, A Wilk1, S Szczesny1, S Galla1 and P Szwangruber2

1Gdansk University of Technology, Poland 2GSI Helmholtz Centre for Heavy Ion Research, Germany

[109] What is big data? Nothing new, just true all-encompassing condition monitoring of your rotating plant, which is beneficial as a management and risk reduction aid C J P Fryer Sulzer Dowding & Mills

[110] On the approach to adaptive psychological testing of CM personnel L S Kuravsky, S L Artemenkov and G A Yuryev Moscow State University of Psychology and Education

[111] Comparative assessment of manual and automated fault detection methods for railcar air brakes D Juhaszova and M Lipsett University of Alberta, Canada

[112] Using cepstrum information to detect gearbox faults in wind turbine planetary stage gearboxes K Marhadi and G A Skrimpas Brüel & Kjær Vibro A/S, Nærum, Denmark

[113] Belt looseness monitoring through the analysis of both amplitude and phase components of stator currents A Picot1, E Fournier2, C Filleau1,2, J Regnier1, E Mouni2 and P Maussion1 1LAPLACE, Université de Toulouse 2Leroy Somer

11.10-11.30 [114] Multi-parameter modular single-platform monitoring system for large motors and generators B Fruth Quartzteq GmbH, Switzerland

[115] Deeper insight into railway switch condition nowcasting B Dutschk1, J C Groos2, E Hadzic3 and T Böhm4 1Karlsruhe Institute of Technology (KIT), Germany 2German Aerospace Center (DLR) – Institute of Flight Systems 3Strukton Rail Netherlands, Utrecht 419055 Schwerin, Germany

[122] On the problem of detecting abrupt changes in the time histories of diagnostic symptoms T Gałka Institute of Power Engineering, Poland

[117] Location and quantitative evaluation of impact fatigue defects in metallic components with eddy current thermography S Yang, L Liu and B Bahrami Mianrood School of Manufacturing Science and Engineering, Sichuan University

[118] Wind turbine gearbox fault prediction algorithm based on feature subspace P Yubin, R Hong, J Chen and H Wang Nanjing University of Technology

[119] Rotating machine speed estimation using vibration statistical approach M Eltabach1 and G Govaert2 1Senlis, Cetim 2Sorbonne Universités

11.30-12.00 Tea and Coffee Break – Room: London 9 – Sponsored by SpectraQuest Inc

12.00-12.20 [120] Early detection of inter-turn stator winding short of an induction motor using an online frequency response method K Y See and S B Rathnayaka SMRT-NTU Smart Urban Rail Corporate Laboratory, Nanyang Technological University, Singapore

[121] Advanced condition monitoring of electric submersible pumps (ESPs) F J Quail Aramco Overseas Company UK Ltd

[128] Reliability criteria and monitoring of the technical condition of powerful turbine units with use of static and dynamic forces in support of shaft lines A I Kumenko, A V Timin and N Y Kuzminykh DYNAMICS SPC

[123] Influence of instrument channel uncertainties on monitoring systems P R Crubellier Comisión Nacional de Energía Atómica THIS PAPER HAS BEEN CANCELLED AFTER THE PRINTING OF THE PROGRAMME

[124] A wireless system for conducting remote vibration monitoring using a remotely-operated deployment robot M G Lipsett, N A Olmedo and B T Tesfay University of Alberta, Canada

[125] The application of cyclic coherence for distributed planet fault detection in planetary gears D Abboud1, M Elbadaoui1,2,

S Becquerelle3 and M Lalmi3

1Safran Tech, France 2Université de Lyon, France 3Safran Transmission Systems

12.20-12.40 [126] Turbo generator stator part temperature monitoring based on KDE-PCA model L Jun1, Q Fang1 and W Xin2

1Shanghai Electric Power Generation Group 2Xi'an Jiaotong University

[127] Data-driven prognostics M von Plate Cassantec AG Presented by M Zvyagina

[134] Hydroelastic oscillations fuel assembly in water and liquid metal coolant V D Sizarev Joint Stock Company NA

[129] Monitoring gearbox oil viscosity by means of motor current signal analysis P V Vuuren1, F Gu2, A D Ball2 and Y Xu2 1North-West University, South Africa 2Centre for Efficiency and Performance Engineering, University of Huddersfield

[130] Vibration analysis of wind turbines D Whittle RMS Ltd

[131] Cepstral removal of resonance effects to improve the use of traditional gear diagnostic indicators under variable speed W A Smith, R B Randall, C Hu and Z Peng University of New South Wales, Australia

12.40-13.00 [132] Fault detection of bearing defects for ball screw-based electromechanical actuators M A A Ismail and J Windelberg German Aerospace Center (DLR) – Institute of Flight Systems

[133] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[116] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[135] Comparison of lock-in and pulse compression thermal imaging techniques for non-destructive defect detection D Roy1 and S Tuli2

1Centre for Applied Research in Electronics, India 2Bennett University, India

[136] From condition monitoring to condition/reliability improvement D Whittle RMS Ltd

[137] Non-uniform (Re) sampling for optical encoders F Bonnardot and J Al Fallah Université de Lyon, LASPI, France

13.00-14.00 Lunch – Room: London 9 13.30-15.30 ICNDT Working Group Meeting – Room: Hyde Park (first floor) 14.00-14.30 Plenary Keynote Lecture [138] Aero engine health monitoring and diagnostics for smart control and fleet management within a global environment

Dr P Laskaridis and Professor P Pilidis, UK Chair: Professor L Gelman Room: London 7 and 8

Session 2A – Condition monitoring and NDT methods and technologies Chair: Professor T-H Gan Room: London 7 and 8

Session 2B – Vibration condition monitoring methods and technologies Chair: Professor V Kostyukov Room: London 1

Session 2C – Trained structures and statistical methods in condition monitoring Chair: Professor L Kuravsky Room: London 2

Session 2D – Signal processing: Identification, fault diagnosis and reliability for complex system monitoring – Part 2 Chair: Dr N Martin Room: London 3

Session 2E – Vibration condition monitoring methods and technologies Chair: Dr H Chandra Room: London 4

Session 2F – Signal processing for condition monitoring and NDT Chair: Dr K C Gryllias Room: London 5

14.30-14.50 [139] Ultrasonic probe using advanced piezoelectric single-crystal gallium orthophosphate for NDT at 580°C M Kostan1, C Nageswaran2, T-H Gan1,2 and J Kanfoud1 1Brunel University London 2TWI Ltd

[140] Improving reliability of vibration spectrum identification without increasing sampling rate using a spectral interpolation algorithm V N Kostyukov and S N Boychenko DYNAMICS SPC

[141] Balancing of shafting of a test-rig using shaft displacement sensors A I Kumenko, N Y Kuz'minykh and A V Timin DYNAMICS SPC

[142] How a bearing defect modifies vibration and IAS of a rotating machine: a phenomenological overview based on experiments and models

D Rémond, J-L Gomez and A Bourdon Université de Lyon

[149] Planetary gearbox fault feature extraction based on sparse decomposition under variable speed operation Y Li, K Ding and G He South China University of Technology, China

[144] Measurement of rotor forces acting on a rotor with use of magnetic bearings NTIS: new technologies for the information society – cybernetics K Kalista NTIS (New Technologies for the Information Society) – Cybernetics

14.50-15.10 [145] Modelling and measurement of guided wave propagation in Denso tape-coated pipes W Duan1, J Kanfoud1, T-H Gan1,2, M Deere2 and P Mudge2 1Brunel University London 2TWI Ltd, Cambridge

[146] Reducing machine downtime through vibration monitoring analysis: use case of a mechanical press machine and transfer U Martínez-de-Estarrona1, A González-González1, J C Sánchez1, D Seneviratne2 and D Galar1,2 1Tecnalia Research and Innovation, Spain 2Luleå University of Technology, Sweden

[147] On additional requirements to vibration control systems and systems for monitoring the technical state of turbo sets for thermal and nuclear power plants A I Kumenko and N Y Kuz'minykh DYNAMICS SPC

[148] Automatic track and balance of wind turbine rotors M Bertelè1, C L Bottasso1, S Cacciola2 and M Domestici3

1Technische Universität, München 2Politecnico di Milano 3University of Perugia

[143] Modelling of experiment of a faulted spur gear pair A Zippo, F Pellicano and M Barbieri University of Modena and Reggio Emilia

[150] Resistant spot welding quality assessment based on novel wavelet analysis with multi-indexes S Chen, N Wu, J Hao, T Sun and L Cui Beijing University of Technology

15.10-15.30 [151] Digital vibration monitoring and risk analysis system for process piping A Angulo TWI

[152] Real-time monitoring on vibration- based diagnostics of reciprocating compressors V N Kostyukov and A P Naumenko DYNAMICS SPC

[153] Impact of static compliance of support and non-linearity of oil film on shafting alignments during monitoring of support misalignments A I Kumenko, N Y Kuz'minykh and A V Timin DYNAMICS SPC

[154] A telemetry monitoring system using the one-class SVM method L Chaari1,2,3, J-Y Tourneret1,2,3, S Fuertes4, G Picart4, A Ferrari5 and C Richard5 1INP-ENSEEIHT, University of Toulouse 2IRIT, Toulouse 3TeSA (Telecommunications for Space and Aeronautics Lab) 4Centre National d’Études Spatiales (CNES) 5University of Nice Sophia Antipolis

[155] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[156] A semi-supervised SVDD-based fault detection method for rolling element bearings K C Gryllias, J Qi, A R Mauricio and P-J Vandenbrande Department of Mechanical Engineering, KU Leuven

15.30-16.00 Tea and Coffee Break – Room: London 9

16.00-16.20 [157] Investigation of the high-temperature performance of ultrasonic guided wave systems for in-service condition monitoring of pipework in thermal power plants A Dhutti1, T-H Gan1,2, A Mohimi2 and J Kanfoud1

1Brunel University London 2TWI Ltd

[158] Piezoelectric-based wireless vibration characteristic research for rail base of turnout switch rail P Hu1, H Wang1, G Tian1,2, P Wang1, R Guo2, F Qiu3, Q Liu1 and W Wang1

1Nanjing University 2Newcastle University 3University of Electronic Science and Technology of China

[159] Discrepancy signal processing techniques for gearbox condition monitoring applications S Schmidt, P S Heyns and J P de Villiers University of Pretoria

[160] Dynamic factor analysis and predictive diagnosis of critical railway components A Samé1 and G Govaert2 1Université Paris-Est, France 2Heudiasyc, France

[161] A low-power wireless vibration sensing framework for machine health monitoring using a packet loss tolerant approach A Villanueva-Marcocchio1 and B Jones2 1University of Sheffield 2IEEE

[168] Multi-sensory data fusion for real-time welding defect detection: reviews and its application case Z Zhang and G Wen Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, The Research Institute of Diagnosis and Cybernetics, Department of Mechanical Engineering, Xi’an Jiaotong University

16.20-16.40 [163] Developments in the application of non-intrusive techniques for identifying the condition of high-voltage switchgear and cables J Butler EA Technology Ltd

[164] Diagnosis of rolling bearing defects of fan and root cause analysis H Fan and Z Xiang

SKF, China

[165] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[166] Analysis of IAS for condition monitoring by means of a simplified wind turbine dynamic model J L Gomez1,2, I Khelf 1,2, A Bourdon1, H Andre3, L Alloin2 and D Remond2 1Université de Lyon 2Engie Green, France 3LASPI – Université de Lyon

[167] Implementation of a null space anomaly detection method on rolling element bearings E Zugasti, U Leturiondo

and O Salgado IK4-IKERLAN Technology Research Centre

[174] Thrust bearing monitoring of vertical hydro-turbine generators R Nowicki1 and N Morozov2 1GE Digital, Poland 2GE Digital, Russia

16.40-17.00 [169] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[170] Matching pursuit based on slip-matrix singular value decomposition for rolling bearing fault diagnosis J Xu1,2, F Cong1, S Tong1, N Tang2 and Y Zhou2

1Zhejiang University 2Institute of Thermal Science and Power Engineering, Zhejiang University

[305]THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[172] Modal parameters assessment of civil engineering structures using long-range LIDAR velocimeter for SHM P Guéguen1, M Valla2, B Augère2 and D Goular2

1ISTerre, Université Grenoble Alpes 2ONERA

[173] In-service railway track condition monitoring by analysis of axle box accelerations for small to mid-size infrastructure operators J C Groos, P Havrila and L Schubert German Aerospace Center (DLR) – Institute of Flight Systems

[162] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

17.15-18.30 18.30-21.00

Evening function – Available to all full-time delegates and delegates who booked the optional extra sightseeing tour at registration Two-course meal with wine Room: London 9 Tour of London (departing from the side entrance of the hotel)

Wednesday 14 June 2017

08.00 onwards

Registration – Room: ILEC Conference Centre Foyer

Training workshops – Available to all full-time delegates, those who booked daily attendance to Wednesday 14 June 2017 and exhibitors Room: Hyde Park (first floor) 08.30-09.00 Plenary Keynote Lecture [201] BINDT strategy and the NDT, CM and SHM community: 2017 update

C Sinclair, CEO of BINDT, UK Chair: Professor L Gelman Room: London 7 and 8

09.00-09.15 15-Minute Comfort Break Session 3A – Vibration

diagnostics and prognostics Chair: Dr R Klein Room: London 7 and 8

Session 3B – Condition monitoring methods and technologies Chair: Professor L Wang Room: London 1

Session 3C – Signal and image processing, pattern recognition and finite element modelling for condition monitoring Chair: Dr E Juuso Room: London 2

Session 3D – Condition monitoring methods and technologies Chair: Professor A Hope Room: London 3

Session 3E – Acoustic monitoring methods and technologies Chair: I Razuvaev Room: London 4

Session 3F – Condition monitoring and NDT methods and technologies Chair: Dr S Kolokolnikov Room: London 5

Session 3G – Condition monitoring methods and technologies Chair: Dr M Papaelias Room: London 6

09.15-09.35 [202] An analytical model for rolling element/spall interaction in bearing inner race E Madar1, G Kogan1, J Bortman1 and R Klein2

1Ben-Gurion University of the Negev, Israel 2RK Diagnostics, Israel

[203] Electrostatic monitoring of tribo-contacts: then and now H Powrie, L Wang and R Wood University of Southampton

[107] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[205] Development of a safety monitoring system for large gantry cranes K Ding, N Zhao, H Wang, Y Zhang and Y He China Special Equipment Inspection and Research Institute

[206] Application of acoustic emission in integrated structural health monitoring systems: problems, solutions and results I Razuvaev Alcor Corp

[207] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[208] Evaluation of damage mechanics of industrial wind turbine gearboxes V J Junior1, J Zhou1, S Roshanmanesh1, F Hayati2, S Hajiabady1, X Y Li1, H Dong1 and M Papaelias1 1School of Metallurgy and Materials, University of Birmingham 2School of Engineering, University of Birmingham

09.35-09.55 [209] Vibration analysis of a double cardan shaft M Battat1, R Klein1,2 and J Bortman1

1Ben-Gurion University of the Negev, Israel 2RK Diagnostics, Israel

[210] Condition monitoring of PTFE composite material bearings through wearing simulation K Yang and Y Gao Wuhan University of Technology, China

[211] Steel grade-specific stress predictions to support roller leveller maintenance R-P Nikula and K Karioja University of Oulu

[212] Review of condition indicators for transformers in marine applications

S Bhandari1, M Chai1, S Aravinth1, S K Panda1, N Sivakumar2 and A K Gupta2

1National University of Singapore 2Rolls-Royce Singapore Pte Ltd

[213] The advanced acoustic emission technique for condition monitoring of industrial facilities T B Petersen, V V Shemyakin, A B Samokhvalov and V Y Chernigovsky DIAPAC Ltd

[214] Novel active ultrasonic reflectometry measurement technology for monitoring the condition and performance of hydrodynamic bearings P Harper Tribosonics Ltd

[215] Indicative bearing fault analysis of wind turbine generator bearings using tower vibration E Mollasalehi University of Calgary

09.55-10.15 [216] Phase editing for enhanced diagnosis of bearing faults under variable speed conditions L Barbini1, M Eltabach2 and J L duBois1

1Mechanical Engineering, University of Bath 2CETIM, Senlis, France

[217] Early failure detection for bearings in electrical environments M Zuercher1, V Heinzler1, E Schlücker1, K Esmaeili2, T J Harvey2, W Holweger2 and L Wang2

1Institute of Process Machinery and Systems Engineering, Germany 2University of Southampton

[218] Crusher wear monitoring in the IoT framework A Koistinen, J Laurila and E Juuso University of Oulu

[356] Data analytics for condition monitoring on-board container ships M Chai1, S Bhandari1, S K Panda1, D Wu2, X Qing Chen2 and W Ping Koh2

1National University of Singapore 2Singapore Technologies Marine Ltd

[220] Acoustic emission source location at industrial structures monitoring A B Samokhvalov DIAPAC Ltd

[221] Direct load measurement of a wind turbine high-speed shaft bearing in the field G Nicholas1, T Howard1, R Dwyer-Joyce1, J Wheals2 and D Benchebra2

1The University of Sheffield 2Ricardo Innovations Ltd, Midlands Technical Centre

[222] Task-specific condition monitoring of industrial CT systems using dedicated data quality measures T Schönfeld and M Bartscher Physikalisch-Technische Bundesanstalt, Germany

10.15-11.30 Exhibitors’ Spotlight Session with Tea, Coffee and Exhibition – Room: London 9 11.30-13.30 Lubrication Analysis Workshop

Steve Greenfield – Room: Hyde Park (first floor) 11.30-11.50 [223] Clearance

influence on vibrations of gear systems I Dadon1, N Koren1, J Bortman1, R Klein2 and M G Lipsett3

1Ben-Gurion University of the Negev, Israel 2RK Diagnostics, Israel 3University of Alberta, Canada

[224] Advanced signal processing techniques for wind turbine gearbox bearing failure detection K Esmaeili1, M Zuercher2, L Wang1, T J Harvey1 and W Holweger3 1University of Southampton 2Process Machinery and System Engineering, Germany 3Schaeffler Technologies, Germany

[225] Advanced data analysis in condition-based operation and maintenance E K Juuso University of Oulu

[226] Correlation-based condition monitoring of a roller chain T Kärcher and G Schullerus Reutlingen University

[227] Investigation of AE signal propagation in vessels and tanks in operation A Kamyshev, I Razuvaev and E Suchkov Alcor Corp

[228] Invited overview presentation Training of shape memory effect for actuation and structural applications Professor R Fu

[229] Initial steps towards an automated system for monitoring the TIG welding process D Bacioiu1, G Melton2, M Papaelias1 and R Shaw2 1University of Birmingham 2TWI Ltd

11.50-12.10 [230] High-definition gearbox monitoring C Larsson SPM Instrument

[231] Design of miniature viscosity sensors based on a single-chip microcomputer K Yang1,2, X Zeng1 and X Sun2

1Reliability Engineering Institute, Wuhan University of Technology 2National Engineering Research Center for Water Transport Safety, Wuhan University of Technology

[232] Transient dynamic finite element modelling of flexible rotor systems with non-linear fluid film bearings and faults P S Heyns, A Krüger and A J Oberholster University of Pretoria

[175] Parametric optimization of TIG welding process parameters in low-alloy steel sheets A I Butt, I Saleem and K Nasim National Engineering and Scientific Commission, Islamabad

[234] Application of the acoustic emission method to diagnose damage in pneumatic cylinders H Mahmoud1, F Vlasic2, P Mazal1 and M Jana3

1Brno University of Technology, Brno, Czech Republic 2Center of Technical Diagnostic ZD Rpety – DAKEL, Czech Republic 3Poličské Strojírny a.s., Policka, Czech Republic

[235] Using ultrasound to improve lubrication practices C Hallum UE Systems UK & Ireland

[236] Welding quality monitoring using acoustic emission techniques M Xing1, M Papaelias1, Z Huang1, G Melton2 and R Shaw2

1University of Birmingham

2TWI Ltd

12.10-12.30 [237] The novel higher-order technique and the wavelet spectral cross-covariance for gearbox vibration condition monitoring L Gelman1, K Solinski2

B Shaw3 and M Vaidhianathasamy3

1Cranfield University 2Meggitt Sensing Systems Switzerland 3Newcastle University

[238] Integrated smart bearings for next generation aero-engines. Part 1: Development of a sensor suite for automatic bearing health monitoring I Bashir1, L Wang1, T J Harvey1, B Zaghari2, A S Weddell2 and N M White2

1National Centre for Advanced Tribology at Southampton (nCATS), University of Southampton 2Electronics and Computer Science, University of Southampton

[239] High-frequency transformer modelling using state space representation for FRA studies A Abu-Siada Curtin University of Technology, Australia

[374] Successful detection of CUI via electrical impedance spectroscopy on an industrial scale G Diamond Inspection Technologies Ltd

[241] Condition monitoring method of satellite flywheel system based on acoustic parameter fusion T He1, H Wang2, W Liu1, Q Pan1 and Q Tao2 1School of Transportation Science and Engineering, Beihang University

2Beijing Institute of Control Engineering

[242] Training of NDT personnel in the field of condition monitoring and technical diagnostics based on the metal magnetic memory method S Kolokolnikov and A Dubov Energodiagnostika Co Ltd, Moscow, Russia

[243] Effective automated analysis of acoustic emission signals N Angelopoulos and M Papaelias University of Birmingham

12.30-12.50 [244] Online real-time monitoring system through using adaptive angular-velocity VKF order tracking T-C Yeh and M-C Pan National Central University, Taiwan

[245] Integrated smart bearings for next generation aero-engines. Part 2: Energy harvesting and wireless communication development B Zaghari1, A Weddell1, N White1, I Bashir2, T J Harvey2 and L Wang2

1Electronics and Computer Science, University of Southampton 2National Centre for Advanced Tribology at Southampton (nCATS), University of Southampton

[246] Advanced prognostics based on intelligent data analysis E K Juuso University of Oulu

PLEASE NOTE THE BELOW PAPER HAS BEEN ADDED TO THE PROGRAMME [176] Decarburisation in low carbon alloy steels and optimisation of heat treatment parameters A Butt, I Saleem and K Naseem National Engineering and Scientific Commission, Islamabad

[248] Preliminary investigation of slurry pipe local motion due to particles near the pipe wall C Ying and M Lipsett University of Alberta, Canada

[249] Application of ultrasound technology in condition monitoring P Holstein and C Probst SONOTEC

12.50-14.00 Lunch and Exhibition – Room: London 9 and ILEC Conference Centre Foyer 14.00-14.30 Plenary Keynote Lecture [251] The role of computational science and engineering in condition monitoring

Professor D Drikakis Chair: Professor L Gelman Room: London 7 and 8

14.30-14.45 15-Minute Comfort Break 14.30-16.30 Vibration Analysis Workshop

Dean Whittle – Room: Hyde Park (first floor)

Session 4A – Condition monitoring methods and technologies Chair: Dr I Petrunin Room: London 7 and 8

Session 4B – Condition monitoring methods and technologies Chair: Professor S Noroozi Room: London 1

Session 4C – Condition monitoring methods and technologies Chairs: Professor S Lahdelma and K Karioja Room: London 2

Session 4D – Condition monitoring methods and technologies Chair: Professor M Lipsett Room: London 3

Session 4E – Condition monitoring methods and technologies – Acoustic emission Chair: I Razuvaev Room: London 4

Session 4F – Structural health monitoring Chair: Professor E Hristoforou Room: London 5

Session 4G – Condition monitoring methods and technologies Chair: Dr M Papaelias Room: London 6

14.45-15.05 [252] Identification of multi-faults in rotor-bearing system using spectral kurtosis and EEMD X Gong1, B Zhao1, A Georgiadis2, W Du1 and Z Xiao1 1Zhengzhou University of Light Industry, China 2Leuphana University of Lüneburg, Germany

[253] Visualising kinematics of an elastic Ossur ESR prosthetic foot using novel low-cost optical tracking systems S Noroozi1, N Aslani1, P Sewell1, A Ong2 and M Khoo2 1Bournemouth University 2Department of Mechanical Engineering, University of Malaya

[254] Methods for automatic condition monitoring K Karioja University of Oulu

[255] Integrated generator rotor and stator winding condition monitoring M Sasic, J Letal and G C Stone Iris Power – Qualitrol, Canada

[256] Application of acoustic emission for evaluating the technical condition of equipment in the process of RBI A Miseiko Aegis Scientific and Technical Center LLC

PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED [257] Invited overview presentation Stress tensor distribution monitoring in ferromagnetic steels P Vourna1, A Ktena2 and Ε Hristoforou1 1Laboratory of Electronic Sensors, National Technical University of Athens 2Department of Electrical Engineering, Technological Educational Institute (TEI) of Sterea Ellada, Greece

[258] Increasing the reliability, availability, maintainability and safety of railway network operations through effective remote condition monitoring E H Gunel1, P Yilmazer1, U Bicer1, B B Altintas1, A Amini2, P Vallely2,3, Z Huang2, F P Garcia Marquez4, S Kaewunruen2 and M Papaelias2 1Turkish State Railway Research and Technology Centre, Turkey 2University of Birmingham 3Network Rail Infrastructure Limited 4ETSII, Universidad de Castilla-La Mancha, Ciudad Real

15.05-15.25 [259] Detection and diagnosis of rail surface defects using signal and image processing techniques A K Ng1, L Martua1, J Yebra2 and G Sun2

1Singapore Institute of Technology 2Land Transport Authority, Singapore

[260] Monitoring the suitability of the fit of a lower-limb prosthetic socket using an artificial neural network in commonly encountered walking conditions P Davenport1, S Noroozi1, P Sewell1 and S Zahedi2

1Bournemouth University 2Chas A Blatchford and Sons Ltd

[261] Axle-mounted piezoelectric energy harvester for continuous energy harvesting from rotation and vibration M Leinonen, J Palosaari, J Juuti and H Jantunen Microelectronics Research Unit, University of Oulu

[262] Multiple physical signal-based performance degradation prediction of slewing bearings H Wang1, B Zhang1, R Hong1, X Gao2 and B Pang3 1School of Mechanical and Power Engineering, Nanjing Tech University 2Shanghai OujiKete Slewing Bearing Co Ltd 3Luoyang LYC Bearing Co Ltd

[263] Low-speed bearing condition monitoring with acoustic emission techniques F Alshammari Cranfield University

[271] In-situ inspection of composite isolators in 500 kV live overhead transmission lines by computed radiography H Fujiwara1, A H Shinohara1, E J Silva Jr1, G J V Xavier1, H B D T Lott Neto2, P R R Britto2 and M A B Fontan2 1UFPE – Federal University of Pernambuco, Brazil 2STN – Sistema de Transmissão do Nordeste SA

[265] Wayside detection of axle bearing faults in rolling stock through correlation signal processing Z Huang1, M Papaelias1 and Z Q Lang2

1University of Birmingham 2University of Sheffield

15.25-15.45 [266] Effects of gear manufacturing errors on rack and pinion steering meshing D Marano1, A Piantoni1, L Tabaglio1, M Lucchi1, M Barbieri2 and F Pellicano2

1ZF TRW 2University of Modena and Reggio Emilia Presented by A Zippo

PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED [267] Condition monitoring of a compressor motor unit: an investigation of abnormal high-pitch noise A Ghaffar1, A Rahman1, S Mahathir2, S Mohd al-Attas2, S Noroozi3 and M Dupac3

1University of Malaysia Pahang 2Quadrant 2 Technologies 3Bournemouth University

[268] Signal processing applications based on real and complex order derivatives J Laurila1 and S Lahdelma2

1University of Oulu 2Tirriäisentie, Oulu, Finland

[269] Investigating the diagnostic capabilities of monitored system parameters to support improvements in conveyor operation and maintenance O F Gebler1,2, B Hicks1, A Harrison1 and M Barker2 1University of Bristol 2Stirling Dynamics, Bristol

[270] Acoustic monitoring of subsea blowout preventers using mixtures of hidden Markov models M Svensén1, D S Hardwick1, H E G Powrie1, G K Nilsen2 and Y Villanger2 1GE Aviation Digital 2Naxys AS

[264] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[272] Remote condition monitoring of railway axle bearings based on data fusion from several sensors E Giannouli1,2, Z Huang1, A Amini1, P Vallely1,3, S Soua2,4, F P G Marquez5 and M Papaelias1 1University of Birmingham 2National Structural Integrity Research Centre 3Network Rail Infrastructure Limited 4TWI Limited, Cambridge 5ETSII, Universidad de Castilla-La Mancha

15.45-16.15 Tea, Coffee and Exhibition – Room: London 9 and ILEC Conference Centre Foyer 16.15-16.35 [273]

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[274] In-line water quality monitoring system (IWQMS) K Abuowda1, A A Issa2, A Hamid Soliman3

and H Aly3 1Bournemouth University 2Al-Azhar University 3Staffordshire University

[275] An improved blade forced response model for non-intrusive blade vibration monitoring and signal simulation P S Heyns and C B Church University of Pretoria

[276] A strategy for the selection of condition monitoring methods T-H Pham1, J Windelberg1, S Ferreiro2 and I Bravo-Imaz2

1German Aerospace Center (DLR) – Institute of Flight Systems 2Intelligent Information Systems, Spain

[277] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[278] Evaluation of reinforced concrete of foundations and concrete towers of transmission lines 230 kV by a high-energy computed radiography system with betatron A H Shinohara1, J F A G Wavrik1, H Fujiwara1, V S Barros1, P Regis1, H J Khoury1,

P I Sá2 and E Garcez2

1UFPE – Federal University of Pernambuco, Brazil 2CHESF – Companhia Hidrelétrica do São Francisco, Brazil

[279] Integrating remote condition monitoring of railway infrastructure with high-speed inspection P Vallely1, 2 and M Papaelias1

1University of Birmingham 2Network Rail Infrastructure Limited

16.35-16.55 [280] Improving damage diagnosis of gearboxes run in non-stationary conditions by novel adaptation of spectral kurtosis and technology parameters L Gelman and S Kolbe Cranfield University

PLEASE NOTE THE BELOW PAPER HAS BEEN CANCELLED [281] Sensor technology development for use in condition monitoring M Koohgilani1 and K Maynard2

1Bournemouth University 2UKTA

[282] A case study of image data processing in automated ultrasonic testing-based aerospace composites inspection G Feng1, J Sun1, A Y B Chong1, J Kanfoud1, T-H Gan1, M Kimball2, M Al Rashed2, L M Vega2, A Garcia2 and G S Virk2

1Brunel Innovation Centre, Cambridge 2Innovative Technology and Science Limited, Cambridge

[283] How system observability affects fault classification accuracy and implications for sensor selection and placement for condition monitoring M Lipsett University of Alberta, Canada

[284] Acoustic vibration monitoring T Murphy Reliability Team Limited

[285] Case study involving failure of titanium impellers in a hydrogen environment M Dobrotvorskii CJSC NPO Lencor

[286] Remote condition monitoring of the structural integrity of rails and crossings S Shi1,2, Z Huang1, S Kaewunruen3, P Vallely1, S Soua2,4 and M Papaelias1 1School of Metallurgy and Materials, University of Birmingham 2National Structural Integrity Research Centre, Cambridge 3School of Engineering, University of Birmingham 4TWI Limited, Cambridge

16.55-17.15 [287] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[288] Condition monitoring through the ages M Koohgilani Bournemouth University

[289] An adaptive thresholding segmentation method of ferrographic image for oil condition monitoring B Xu1, G Wen1,2, Z Zhang1 and F Chen1

1The Research Institute of Diagnosis and Cybernetics, Xi’an Jiaotong University 2School of Mechanical Engineering, Xinjiang University

[290] Condition monitoring of railway overhead lines: correlation between geometrical parameters and performance parameters M Carnevale1, A Collina1 and M Palmiotto2 1Dipartimento di Meccanica, Politecnico di Milano 2Rete Ferroviaria Italiana SpA

[291] Using ultrasound to solve problems on assets that do not rotate T Murphy Reliability Team Limited

[292] Advantages of scanning methods in NDT

G Por, M Agocs, E Kocso and J Molnar University of Dunaujvaros

[293] Operational safety assessment research of the rail system Y Qin Beijing Jiaotong University

17.15-17.35 [294] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[295] An investigation into the effect of boundary conditions on the mechanical characteristics of an energy storing and returning prosthetic foot subjected to non-destructive testing J Hawkins, S Noroozi, M Dupac and P Sewell Bournemouth University

[296] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[297] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[298] Monitoring of the injection moulding process of polymers with acoustic emission sensors T Kek and J Grum Faculty of Mechanical Engineering, University of Ljubljana

[299] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[300] Application of AE technology in continuous monitoring of pipelines of power units operating at high temperatures B E Paton, L M Lobanov, A Ya Nedoseka, S A Nedoseka, O S Milenin and E O Paton Electric Welding Institute of the NAS of Ukraine

17.35-18.35 ISCM Annual General Meeting – Room: Hyde Park (first floor) Free evening for delegates to arrange their own activities (no evening meal will be included in today’s programme)

Thursday 15 June 2017

08.00 onwards

Registration – Room: ILEC Conference Centre Foyer

09.00-09.30 Plenary Keynote Lecture [301] Study on condition monitoring of major mechanical systems based on health management Professor G Shen and Professor L Yuan, China Chair: Professor L Gelman Room: London 7 and 8

09.30-09.45 15-Minute Comfort Break Session 5A – Sensors

and actuators for condition monitoring Chair: Professor J Bortman Room: London 7 and 8

Session 5B – Structural health monitoring Chair: Professor L Cheng Room: London 1

Session 5C – Condition monitoring methods and technologies – Stress/strain analysis Chair: D Whittle Room: London 2

Session 5D – Maintenance Chair: Dr J Yebra Room: London 3

Session 5E – Vibration condition monitoring methods and technologies Chair: Dr J Liska Room: London 4

Session 5F – NDT methods and technologies Chair: Dr H Chandra Room: London 5

Session 5G – Signal processing: Identification, fault diagnosis and reliability for complex system monitoring – Part 3 Chair: Dr N Martin Room: London 6

09.45-10.05 [302] Energy harvesting for wireless and autonomous load monitoring sensors G Bastard1 and Y Hebrard2

1Safran Aircraft Engines 2SKF Aerospace

[303] & [330] Invited overview presentation Guided wave approach for structural health monitoring L Cheng Polytechnic University, Hong Kong

[311] On-stream optical measurement to monitor creep strain J W Noteboom and H J M Hulshof DEKRA Solutions BV, The Netherlands

[171] Beyond traditional condition monitoring – combining efficiency and performance indicators with typical condition monitoring parameters K Daskalakis James Fisher Mimic

[306] Rotating blades state evaluation using relative rotor vibration measurements considering the impact of operating conditions V Vasicek, J Liska and J Jakl NTIS – European Centre of Excellence, University of West Bohemia, Pilsen

[307] Automated detection of welding defects in pipelines from radiographic double wall double images N Boaretto and T Centeno Federal Institute of Santa Catarina (IFSC), Brazil

[315] Early fault detection thanks to distributed optical fibre sensors E Buchoud, J-M Hénault, S Desforges and F Martinot EDF R&D, France

10.05-10.25 [309] A wireless rolling bearing cage temperature sensor for aerospace transmission diagnostic application Y Hebrard

SKF Aerospace

[304] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[312] Determination of the optimal maintenance threshold and periodicity of condition monitoring V Ulansky1 and A Raza2

1National Aviation University, Kiev 2DOPA, Overseas Projects and Maintenance

[313] Measurement and evaluation of shaft torsional vibrations to reveal the excitation sources of the rotating blades J Jakl, J Liska, S Kunkel and J Strnad

NTIS – European Centre of Excellence, University of West Bohemia, Pilsen

[314] Ultrasonic guided wave technique for the size and depth estimation of delamination-type defects in structural health monitoring of composite structures V Samaitis and L Mažeika Ultrasound Research Institute, Kaunas University of Technology

[322] New cepstral techniques for operational modal analysis R B Randall and W A Smith University of New South Wales, Australia

10.25-10.45 [316] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[310] Non-linear methods for rapid go/no-go monitoring N T Sewell, J C S Wright and J R Wright Theta Technologies Limited

[318] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[319] Development of a Bayesian network (BN) model to estimate health factors for predictive maintenance strategy of large two-stroke marine engines M Usman1,3, D Shorten2 and Z Yang3 1Lloyd’s Register EMEA, Global Technology Centre, Southampton 2Optimain, UK Ltd 3Liverpool Logistics Offshore and Marine Research Institute

[320] Engine condition and performance monitoring using cylinder head stress wave analysis M Cox Practice Care Maintenance Services Ltd

[321] New trends of NDT-based condition monitoring of industrial and power plants F Niese, P Jäckel, U Rabe, H-G Herrmann and K Szielasko Fraunhofer Institute for Nondestructive Testing IZFP

10.45-11.45 Tea, Coffee and Exhibition – Room: London 9 and ILEC Conference Centre Foyer Session 6B – Structural

health monitoring Chair: D Whittle Room: London 1

Session 6C – Condition monitoring methods and technologies – Stress/strain analysis Chair: Dr S Ganeriwala Room: London 2

Session 6D – Predictive maintenance and condition monitoring Chair: Dr J Yebra Room: London 3

Session 6E – Vibration condition monitoring methods and technologies Chair: Professor A Hope Room: London 4

Session 6F – Condition monitoring methods and technologies Chair: Dr H Chandra Room: London 5

11.45-12.05 [324] Structural health monitoring of composite pressure vessels using guided ultrasonic waves Y Lugovtsova and J Prager Bundesanstalt für Materialforschung und – prüfung (BAM)

[325] Location of impact on composite plates using the piezoelectric rosettes technique A Razzini, V Lopes Jr and V Rosa UNESP – São Paulo State University

[326] Identification of damage ignition time with high accuracy using a CUSUM chart: four case studies B Al-Najjar and H Algabroun Linnaeus University, Sweden

[327] Blade synchronous frequencies identification based on non-uniform Fourier transform of multisampling data L Yue and H Liu

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing

[334] Control and instrumentation in renewable fuel production I Petrunin, H Chandra and L Gelman Cranfield University

12.05-12.25 [336] Simulation and big data analysis for SHM systems: fractal approach V Vengrinovich1,2, D Vintov1, V Ryabtsev3 and A Nichanovich1 1Institute of Applied Physics, National Academy of Sciences of Belarus 2Tomsk National Research State University 3Belarus State Technical University

[331] Investigation into the cause of cab mounting bolt failures on a track renewal train M Cox Practice Care Maintenance Services Ltd

[332] Improving reliability with CBM Y Wang and G Rolfe SKF (UK) Ltd

[333] High-definition gearbox monitoring C Larsson SPM Instrument

[340] Concept and experience of wire rope condition monitoring D Slesarev1, D Sukhorukov1, I Shpakov1 and C Bonetti2 1Intron Plus, Moscow, Russia 2VisionTek, Brescia, Italy

12.25-12.45 [317] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[427] Using residual analysis for the detection of faults in unsteadily operating rolling element bearings D Helm and M Timusk Laurentian University, Canada

[338] Universal health and usage monitoring system (HUMS) enterprise solution W Y Yeo Singapore Technologies Kinetics Ltd

[339] Algorithms for refinement of the shaft rotational speed for solving the problems of vibration diagnostics of rotating equipment Y Aslamov, I Davydov, A Zolotarev and A Aslamov VibroBox

[328] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

12.45-14.00 Lunch and Exhibition – Room: London 9 and ILEC Conference Centre Foyer 12.45-14.00 International Scientific Advisory Committee Lunch: By invitation only – Room: London 7 and 8 14.00-14.30 Plenary Keynote Lecture [341] Structural health monitoring: new paradigms for aerospace and process industries using guided ultrasonic waves

Professor K Balasubramaniam, India Chair: Professor L Gelman Room: London 7 and 8

14.30-17.00 Presidents and CEOs of the ISCM Liaison Members Meeting: By invitation only – Room: Hyde Park (first floor) 14.30-14.45 15-Minute Comfort Break Session 7A – Sensors

and actuators for condition monitoring Chair: Dr G Zusman Room: London 7 and 8

Session 7B – Condition monitoring methods and technologies Chair: Professor P Trampus Room: London 1

Session 7C – Instrumentation for condition monitoring Chair: Dr J Yebra Room: London 2

Session 7D – Predictive maintenance and condition monitoring Chair: Dr J Yebra Room: London 3

Session 7E – Vibration condition monitoring methods and technologies Chair: Professor A Hope Room: London 4

Session 7F – NDT and CM methods and technologies Chair: Dr S Kolokolnikov Room: London 5

14.45-15.05 [342] The effective monitoring of key rotor parameters with a smart energy harvesting device for AC machines S Tvorić, A Elez and A Kapović KONČAR

[343] Contribution of CM and NDE to asset management P Trampus University of Dunaújváros

[344] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[345] A decade of points condition monitoring: the Balfour Beatty rail experience T A Bradbeer Balfour Beatty Rail

[346] Sparse wavelet decomposition of signals for solving vibration diagnostics problems Y Aslamov, I Davydov, A Zolotarev and A Aslamov VibroBox

[347] Airborne ultra-broadband NDT with an optical microphone and a thermoacoustic emitter T Herbst Xarion Laser Acoustics GmbH

15.05-15.25 [348] A comparative study on the use of different methods for gravitational acceleration cancellation providing pure tangential acceleration for condition monitoring Z Mones, G Feng, F Gu and A D Ball University of Huddersfield

[349] Research on condition monitoring based on health management of large amusement rides Y Liu1,2, G Shen3, Z Zhao1 and Y Shen3

1Wuhan University of Technology 2Qinzhou University, Qinzhou 3China Special Equipment Inspection and Research Institute, Beijing

[350] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[351] The shift to unattended measurement of track geometry D Thompson Balfour Beatty Rail

[352] Resolving structural vibration issues on a multi-stage pump M Shalabi and N Peton GE Oil & Gas – Bently Nevada

[359] Monitoring of risks based on early diagnostics of equipment and structures metal state in stress concentration zones – the sources of damage development A Dubov and S Kolokolnikov Energodiagnostika Co Ltd

15.25-15.45 [354] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[355] Experimental results on condition monitoring of railway infrastructure and rolling stock F Cangioli, M Carnevale, S Chatterton, A De Rosa and L Mazzola Dipartimento di Meccanica, Politecnico di Milano, Italy

[219] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[357] Utilising holistic condition monitoring on MV/HV motors to reduce unplanned downtime M Foxall1, L Dodd1 and A Mellor2

1High Voltage Partial Discharge Ltd 2Pragmatic Maintenance and Reliability Ltd

[358] Application of wavelet packet transform and envelope analysis to non-stationary vibration signals for the fault diagnosis of a reciprocating compressor U E Ogbulafor, G Feng, Z Mones, A D Ball and F Gu University of Huddersfield

[365] High-energy 3D computed tomography (CT) metrology and inspection: one operation B Ingham Rolls-Royce plc

15.45-16.15 Tea, Coffee and Exhibition – Room: London 9 and ILEC Conference Centre Foyer 16.15-16.35 [360] Two-wire IEPE or

CLD electronics interface sensors with integrated mechanical transducing and temperature monitoring capability G Zusman Vibration Measurement Solutions

[361] A novel decision support model for the composite repair decision process S Thyagarajan1 and V Gollnick2 1German Aerospace Center (DLR) – Institute of Flight Systems 2TUHH Institute of Air Transportation Systems

[362] Improving the measuring accuracy of voltage unbalance for electrical condition monitoring D Makov, A I Antonjuk and O V Polishchuk National Technical University of Ukraine

[369] The tribodiagnostics of the technical condition of aviation reducers on stages of surface fatigue wear of their details by ferrography L Shabalinskaia, V V Golovanov, E S Bubnova and A O Melnikov Central Institute of Aviation Motors named after P I Baranov

[364] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[371] Analysis of geomaterials using frequency-modulated continuous wave radar in the K-band

J Blanche1,2, D Flynn1, H Lewis2, G Couples2 and R Cheung3

1Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh 2Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh 3Scottish Microelectronics Centre, University of Edinburgh

16.35-16.55 [366] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[367] Developing a condition-based maintenance concept for fatigue-driven failure of structural parts H Meyer1, S Thyagarajan1 and V Gollnick2

1DLR Institute of Air Transportation Systems 2TUHH Institute of Air Transportation Systems

[368] Condition monitoring of a mechanical indexing system with artificial neural networks M Tiboni and C Remino Università degli Studi di Brescia, Italy

PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED [375] A practical methodology to allow a ship operator to transition from a planned preventative maintenance culture to one based primarily on risk D C Shorten Optimain Limited

[370] Vibration analysis for wind turbine bearing condition monitoring using the wavelet filtering method X Tang1 and L Zhang2 1Huazhong University of Science and Technology, China 2University of Manchester

[377] Magnetic signal variation in the deformation zone of tubular tower B Hu and G Shen China Special Equipment Inspection and Research Institute (CSEI)

16.55-17.15 [372] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[373] An approach for condition monitoring of rolling stock sub-systems: A case study on HVAC D Seneviratne1, U Martínez-de-Estarrona2, D Galar1,2 and J C Sánchez2

1Luleå University of Technology, Sweden 2Tecnalia Research and Innovation, Spain

[240] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[363] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[376] MBVI systems: why does the world really need yet another condition monitoring technique – and what should we do about it? G Walker Artesis LLP

[353] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

19.30 for 20.00

Pre-dinner drinks – Room: ILEC Conference Centre Foyer Conference dinner – Room: London 8 and 9

Friday 16 June 2017

08.00 onwards

Registration – Room: ILEC Conference Centre Foyer

09.00-09.30 Plenary Keynote Lecture [401] A review of high-temperature hydrogen attack (HTHA) modelling, prediction and non-intrusive inspection in refinery applications T Armitt, UK Chair: Professor A Hope Room: London 7

09.30-09.45 15-Minute Comfort Break Session 8A – Condition

monitoring and NDT methods and technologies Chair: Professor L Gelman Room: London 7

Session 8B – Vibration condition monitoring methods and technologies Chair: Professor A Hope Room: London 1

Session 8C – Condition monitoring methods and technologies – Lubrication analysis Chair: S Greenfield Room: London 2

Session 8D – Acoustic emission for condition monitoring and NDT Chair: I Razuvaev Room: London 3

Session 8E – Infrared thermography for condition monitoring and NDT Chair: C Pearson Room: London 4

Session 8F – NDT methods and technologies Chair: T Armitt Room: London 5

09.45-10.05 [402] Novel vibration condition monitoring of gearboxes H Chandra1, L Gelman1, D Manning-Ohren2 and M Patel2 1Cranfield University 2ERIKS

[403] A study of bearing fault diagnosis using deep belief networks T R Lin and K Yu School of Mechanical Engineering, Qingdao University of Technology

[404] Overview of oil debris condition monitoring, early failure detection (EFD) S Greenfield Eaton Aerospace

[405] Invited overview presentation Future direction of acoustic emission method for the integrated structural health monitoring systems I Razuvaev Alcor Corp, Russia

[439] Introduction to thermography for condition monitoring C Pearson Sustainable Construction Group

[407] State-of-the-art prediction and NDE techniques for high-temperature hydrogen attack in piping and equipment T Armitt1, M Nugent2, T Silfies2 and J Dobis2

1Lavender International 2The Equity Engineering Group

10.05-10.25 [414] Calibration of a reinforced concrete bridge using deep learning D Darsono and M Torbol Ulsan National Institute of Science and Technology, South Korea

[409] ISO standards in vibration analysis S Mills Spectrum CBM

[410] An introduction to offline oil laboratory analysis S Greenfield1 and R Cutler2 1Eaton Aerospace 2Alcontrol

[411] Low-speed bearings T Bradshaw Mistras Group Ltd

[440] Imaging using drones R Faulkner iRed Ltd

[413] Simultaneous multi-mode and disperse ultrasonic guided waves signal analysing using the morphological component analysis (MCA) method X Li, W Guo and X Li University of Electronic Science and Technology of China

10.25-10.45 [408] Invited overview presentation Current and future directions in non-linear ultrasonic inspection Professor K Balasubramaniam Indian Institute of Technology Madras

[415] Detecting rolling element bearing defectsD Whittle RMS Ltd

[416] An introduction to online oil quality sensor applied to modern gas turbine engine S Greenfield Eaton Aerospace

[417] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[441] Introducing equine thermography E Hall Thermographer, Equine Specialist

[419] High-temperature corrosion monitoring of industrial boilers J Noteboom and M P De Jong DEKRA – MTI

10.45-11.15 Tea and Coffee Break – Room: London 9 Session 9A – Condition

monitoring methods and technologies Chair: Professor L Gelman Room: London 7

Session 9B – Vibration condition monitoring methods and technologies Chair: Professor A Hope Room: London 1

Session 9C – Condition monitoring methods and technologies – Lubrication analysis Chair: S Greenfield Room: London 2

Session 9D – Acoustic emission for condition monitoring and NDT Chair: K Kirk Room: London 3

Session 9E – Infrared thermography for condition monitoring and NDT Chair: C Pearson Room: London 4

Session 9F – NDT methods and technologies Chair: T Armitt Room: London 5

11.15-11.35 [420] Detection of flow separation effects in gas turbines using the higher-order spectra L Gelman1, C Parrish1, I Petrunin2 and M Walters2 1Cranfield University 2Rolls-Royce

[421] Using shaft centre line analysis to identify bearing faults based on case studies J Sykes AV Technology

[422] Investigation of process fluid contamination as a potential cause for oil degradation and varnish build-up in a gas compressor lubricating system D Korachkin Swansea Tribology Services Ltd

[423] Analysis of acoustic emission data for structural health monitoring of engineering geometries A A Ghouri and K J Kirk University of the West of Scotland

[442] Thermography as part of the BRE environmental assessment method (BREEAM) C Pearson Sustainable Construction Group

[425] Characterisation and modelling of magnetic domain wall dynamics using reconstituted hysteresis loops from Barkhausen noise B Ducharne1, M Q Le1, G Sebald1, P J Cottinet1, D Guyomar1 and Y Hebrard2

1INSA LYON-LGEF 2SKF Aerospace

11.35-11.55 [426] Novel vibration diagnosis of deep foundation concrete piles L Gelman and S Kirlangic Cranfield University

[337] Visualising vibration: a ‘game changer’ for troubleshooting, diagnostics and RCA K Gallant RMS Ltd

[428] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[429] Acoustic emission-based condition monitoring technique for power electronic devices used in solar power systems A Badawood1, M Alrweg1, H Musaad1, P Bolourinejad1, A Albarbar1 and C Batunlu2 1Manchester Metropolitan University 2Middle East Technical University, Turkey

[436] Infrared licensing and certification agency (ILCA) and United Kingdom Thermography Authority (UKTA) Bruce Arnold Inspexions

[431] Monitoring of corrosion damage using ultrasonic guided wave tomography Z Fan, J Rao and M Ratassepp School of Mechanical and Aerospace Engineering, Nanyang Technological University

11.55-12.15 [432] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[433] Diagnosis and treatment of stray current in electric motors, fans, pumps and gearboxes R Thompson Eriks UK

[434] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[435] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[430] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[437] Detection of bond defects in cold roll bonded Al/Al-Sn/Al/steel sheets using Lamb-type guided wave EMATs P J Tallafuss1, A Rosochowski1, S Campbell2 and A R Camacho3

1University of Strathclyde, Glasgow 2MAHLE Engine Systems UK Ltd, Kilmarnock 3Innerspec Technologies Europe S L, 28802 Alcala de Henares, Madrid

12.15-12.45 Plenary Keynote Lecture [438] Condition monitoring for Industry 4.0 Professor R Smid, Czech Republic Chair: Professor L Gelman Room: London 7 and 8

12.45-13.15 Panel Session 13.15-13.30 13.30

Conference Close and Awards Presentation – Room: London 7 Lunch – Room: London 9