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Condition Monitoring
Welcome!
Mark your calendar for the 2011 CP Panel Discussion Webcasts:
April 21, 2011: Asset ManagementMay 19, 2011: EmissionsJune 16, 2011: Alarm ManagementJuly 21, 2011: Dust ControlAugust 18, 2011: CFATSSeptember 22, 2011: Process SafetyOctober 20, 2011: Energy EfficiencyNovember 17, 2011: Dry Materials Handling
Today’s Webinar is sponsored by:
Condition Monitoring
Traci Purdum, Senior EditorChemicalProcessing.com
Joining us today:
Renard KlubnikApplications EngineerWilcoxon Research
Michael EisenbiseGlobal Reliability Implementation Specialist BP Downstream
Andy PageIntegration DirectorGPAllied
Condition Monitoring
Renard Klubnik
Applications EngineerWilcoxon Research
Condition Monitoring
Vibration:The cornerstone of
condition monitoring
Renard Klubnik, Applications EngineerMeggitt Sensing Systems – Wilcoxon Research
Condition Monitoring
Benefits of Vibration Monitoring
• Equipment is monitored and analyzed while it is running• Used to predict failures and schedule maintenance
during planned shut downs• High potential for return on investment
• Level of investment can be tailored to budgets and criticality
• Identifies a variety of machinery faults• Can be used on virtually all types of rotating
machinery• You don’t have to be an expert
• Some of the benefits of vibrations monitoring can be gained with vibration trending, instead of analysis
Condition Monitoring
Causes of Vibration
• Mechanical defects• Bearings• Gears
• Mechanical conditions• Imbalance• Soft foot
• Electrical conditions• Stator• Rotor
• Impellers• Blades
• Resonance• Misalignment
• Winding
Condition Monitoring
Effects of Vibration
• The expended energy from vibration causes wear of components, reduced performance, increased energy consumption and reduced reliability
• Vibration can excite natural frequencies causing significant vibration at the components
Condition Monitoring
How to Detect Vibration
Raw signal from accelerometerA/D conversion and signal processing
Digitized waveformFFT or spectrum
Condition Monitoring
Vibration Data Collection Methods
• 4-20 mA trending• Portable data collection• Online monitoring
Condition Monitoring
Highly critical(online shutdown protection)
Mission critical(portable, online, or 4-20 mA)
Balance of plant(4-20 mA)
Run to failure(no monitoring)
When to Apply Vibration Monitoring
Condition Monitoring
Vibration Analysis can Detect Many Common Problems
• Machine faults– Imbalance– Misalignment– Bent shaft– Mechanical looseness– Casing / foundation
distortion– Bearing faults– Motor faults– Resonance
• Machine design– Universal joints– Asymmetrical shafts,
cams– Gear mesh– Couplings– Bearings– Pumps and fans– Reciprocating machines– Motors / generators
Condition Monitoring
Michael Eisenbise
Global Reliability Implementation Specialist
BP Downstream
Condition Monitoring
Disclaimer
The comments made in the following presentation are solely those of the presenter.
These comments are made under the presenter’s first amendment rights.
The presenter’s comments do not necessarily reflect the thoughts, policies, opinions, etc. of BP or SMRP
Condition Monitoring
History of Reliability
1940
First Generation”
•Fix it when it broke
Second Generation:
•Scheduled overhauls
•System for planning and scheduling work
•Big slow computers
Third Generation:
•Condition monitoring
•Design for reliability and maintainability
•Hazard studies
•Small, fast computers
•Failure modes and effects analysis
•Expert systems
•Multi-skilling and teamwork
1950 1960 1970 1980 1990 2000
14
Condition Monitoring
5
Equipment Failures
A
B
C
D
E
F
4% 7%
2% 14%
5% 68%Con
ditio
nal P
roba
bilit
yof
Fai
lure
UAL, 1968
In the 1960’s research at United Airlines by Nolan & Heap found that failures could be grouped into 6 patterns, and they also found a prevalence of infant mortality or early failures (Pattern F)
89%
Condition Monitoring
5
Equipment Failures
A
B
C
D
E
F
4% 7%
2% 14%
5% 68%Con
ditio
nal P
roba
bilit
yof
Fai
lure
UAL, 1968
In the 1960’s research at United Airlines by Nolan & Heap found that failures could be grouped into 6 patterns, and they also found a prevalence of infant mortality or early failures (Pattern F)
89%Age Related Not Age Related
Condition Monitoring
“…there is often little or no relationship between how long an asset has been in service and how likely it is to fail.”
• John Moubray, Reliability Centered Maintenance II
Condition Monitoring
• Avoid the Age Related Failure Thinking Trap!• Follow up studies by Bromberg (Sweden) in 1973
and the U. S. Navy in 1982 produced similar findings to the original United Airlines study.
• Only 4 – 20% components showed age related failure characteristics!
• 77- 92% component failures are random!
Condition Monitoring
“…there is often little or no relationship between how long an asset has been in service and how likely it is to fail. However, although many failure modes are not age-related, most of them give some warning that they (failures) are in the process of occurring or are about to occur.”
• John Moubray, Reliability Centered Maintenance II
Condition Monitoring
• Time based turn-a-rounds, outages, etc. • What does the previous data tell us?
“Let’s tell the assets what we want the assets to do, let’s avoid having the
assets telling us what they want us to do.” Michael Eisenbise
Condition Monitoring
Predictive MaintenancePotential Failure P-F Curve
Con
ditio
n
Time
Point where failure can first be detectedP
Point of Functional
FailureFPoint where failure starts
Catastrophic Failure
P – F Interval
21
Condition Monitoring
For a predictive/conditioning maintenance task to be effective
• Failures must be detected in the P-F interval and an action taken to prevent the failure.
• The predictive maintenance activity must be cost effective
• The sooner the failure is predicted, the optimal failure point can be determined
• The sooner the failure is predicted, the better the planning and scheduling can be to maximize availability of the asset.
22
Condition Monitoring
Total Cost Concept – Optimizing PM/PdM Frequency
Tota
l Cos
t
LowestTotal Cost
23
Condition Monitoring
Implement Strategies to Mitigate Consequences of Failures-Assign Tasks
• Predictive Maintenance (PdM)/Conditioned Monitoring Tasks
• Preventive Maintenance (PM) aka time or interval based tasks
• Failure Finding Tasks, Intended to find hidden failures e.g. burned out light bulb, often called functional test.
• Redesign• Run to Failure (RTF), RTF is an acceptable
maintenance strategy were applicable e.g. water fountain. RTF is not related to equipment criticality
Condition Monitoring
Andy PageIntegration DirectorGPAllied
Condition Monitoring
Condition Monitoring
Source: Brynjolfsson (MIT), Wireman, Troyer, Allied
Technology Maturity
Bus
ines
s P
roce
ss a
nd
Cul
ture
Mat
urity
+27%• Improved Bottom Line Performance
• Lack of System Support
High
Low
Low
+75%• Significantly
Improved Bottom Line Performance
• Practices and Systems Aligned
Baseline •Informal
• Manual Planning Processes
• Below Average Business Performance
-7%• Systems are not
Complemented by Effective Business Processes
• Significant Inefficiencies
High
Condition Monitoring
OE
E (%
of B
ase)
Source: The RM Group, Knoxville, TN
15 35 55 75 9598
100102104106108110112114
Condition Monitoring
Note: John Schultz to be featured in Ron Moore’s new book What Tool? When? Selecting the Right Manufacturing Improvement Strategies and Tools
Source: 1997 Benchmarking Study, John Schultz
Condition Monitoring
Source: John Schultz, RM Group
Equipment on PM (%)Source: 1997 Benchmarking Study in Chemical Processing industry, John Schultz to be featured in Ron Moore’s new book What Tool? When? Selecting the Right Manufacturing Improvement Strategies and Tools
Mai
nten
ance
Cos
ts ($
)% R
AV
Condition Monitoring
Condition Monitoring
Coverage by Technology
001350000220Existing Coverage
3,2605013445885883,2603696804th Quartile
3,8621,4637178828823,8621,0771,5303rd Quartile
4,3642,2981,0901,1761,1764,3641,6932,3122nd Quartile
4,8152,9251,4921,4701,4704,8152,1552,7201st Quartile
5,0164,1792,8692,9392,9395,0163,0783,400100% Theoretical
Mech – MechanicalUE – Ultrasound IR – Infrared ThermographyElect – Electrical MCA – Motor Circuit Analysis
Elect UE
Mech IR
Oil Analysis
MCA Online
MCA Offline
ElectIR
Mech UEVibration
Source: John Schultz
Condition Monitoring
PM Task ActionRecommendation # of Tasks % of Tasks Man-Hours
RepresentedNon-Value Added (Delete) 1,640 8.2% 6,661
Reassign to Operator Care 1,380 6.9% 5,605
Reassign to LubeRoute 2,856 14.3% 11,600
Replace with PdM 6,437 32.2% 28,222
Re-Engineer 5,200 26.0% 26,221No ModificationsRequired 2,487 10.4% 8,987
Totals 20,000 100.0% 87,297
Source: Allied assessment at a Steel Mill
Condition Monitoring
Condition Monitoring
Walkdown Tool
Asset Health Matrix Tool/RCM Blitz™
OP-1 & OP-2 Standards
Criticality Analysis Tool
TEAM
Meets Minimum Standard
Asset Catalog
Criticality Analysis
Failure Modes Analysis
Corporate Standards
Maturity Spider
Meets Minimum Standard
Meets Minimum Standard
Meets Minimum Standard
Meets Minimum Standard
Cannot Report Asset Health
Asset Health Report
PM/PdM BP Tool
Y
N N N N N
Y Y Y Y
Condition Monitoring
Condition Monitoring
Condition Monitoring
NOT ENGAGED
Level Two
Level Three
Level Four
Level Five
EXPERI-MENTING
ENLIGHT-ENED
GOOD PRACTICE
12
34
5
BEST PRACTICE
TIME
PROGRAM MATURITY
and DISCIPLINE
Condition Monitoring
Questions for our Panel?
Webinar Sponsored by:
Andy PageIntegration [email protected]
Renard KlubnikApplications EngineerWilcoxon [email protected]
Michael EisenbiseGlobal Reliability Implementation Specialist BP [email protected]
Condition Monitoring
Thank you for attending today’s Webinar!
Look for an email from us with a link to download the entire Presentation from today’s event.
Download the 2011 CP Panel Discussion Webinars at:www.ChemicalProcessing.com/cpseries