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Unrestricted © Siemens 2020
www.siemens.com/siplus-cmsUnrestricted © Siemens 2020
Reduce Downtime by
Digitizing Mechanical
Data
Restricted © Siemens AG 20XX
XX.XX.20XXPage 2 Author / Department
Presenter
Luis Narvaez
Product Marketing Manager for Basic Automation Controllers
Siemens Industry, Inc.
• B.S. Electrical Engineering, University of Central Florida
• 10+ years experience in industry
• Worked in various roles in construction, entertainment/theme park
and manufacturing industries
• Primary objective is to focus on educating market on the SIMATIC
S7-1200 Basic Controller
• Started with Siemens as part of Engineering Leadership
Development Program
• Worked in various roles such as Systems Engineer, Applications
Engineer, Business Developer
Unrestricted © Siemens 2020
Unplanned downtime
motivation for change
- $
Unrestricted © Siemens 2020
What is predictive maintenance and why is it important?
• Drive higher asset uptime and utilization
• Reduce material and maintenance costs
• Increase production yields
Key capabilities
Predictive maintenance involves the continuous collection and analysis of real-time asset health and performance data
to better understand the root cause of quality and production issues. With this data, you can service assets at the right
time and frequency, before downtime occurs.
Unrestricted © Siemens 2020
Existing maintenance approaches create challenges
Reactive vs. Predictive vs. Preventive
Cost
Maintenance Tasks
Predictive PreventiveReactive
Failure? Plan?Status?Total cost
Maintenance costs
(planned)
Loss of production
costs (unplanned)
Unrestricted © Siemens 2020
Condition Monitoring
The machine under control
There is no machine without vibrations.
But when do vibrations cause damages?
And what kind of damages?
And will the machine suddenly break down?
Condition Monitoring Systems (CMS)
The answer to preventive maintenance
in industry
Unrestricted © Siemens 2020
SIPLUS CMS
Possibilities of Condition Monitoring
Reaction time until breakdown
Minutes
Watch
Smoke
Days
Feel
Heat
Weeks
Hear
Noise
Months
SIPLUS CMS
Early detection
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SIPLUC CMS
Data Collection
Shaft Coupler Gearbox Bearing FanDrive Motor
Unrestricted © Siemens 2020
SIPLUS CMS - Real Example
Bearing failure gear box
Drawing Resulting damage at the inner ring
08.07.03 02.09.03 28.10.03 23.12.03 17.02.04 13.04.04 08.06.04 03.08.04 28.09.04 23.11.04 18.01.05 15.03.05 10.05.05date
0,2
0,4
0,6
0,8
1,0
1,2
1,4
1,6
1,8
2,0
a [m/s²]
Warning
08.07.12 02.09.12 28.10.12 23.12.12 17.02.13 13.04.13 08.06.13 03.08.13 28.09.13 23.11.13 18.01.14 15.03.14 10.05.14
Trend
Picture
Unrestricted © Siemens 2020
CMS 1200
• Integrated with SIMATIC S7-1200 PLC for
additional monitoring or control of machines
• Flexible expansion up to 7 modules per station
• Analysis software on board
• Simple user interface
• Remote connectivity available
• Transparency across multiple levels
SIPLUS CMS
Condition Monitoring with SM 1281
Unrestricted © Siemens 2020
SM 1281 Condition Monitoring Module
SIPLUS CMS1200: Condition Monitoring with SIMATIC S7-1200
SM1281 - Overview
Features
• Characteristic-based diagnostics
• Frequency-selective diagnostics
• Export of raw data
• SIMATIC and web-based
Connections
• Up to 4 vibration sensors (IEPE-sensors)
• 1 optional speed input (Bero)
• Ethernet (2 ports)
• Power supply 24VDC
Expansion option
Up to 7 modules can be connected;
depending on the S7-1200 CPU used
Operating principle
• Calculations are performed
continuously
• The 4 IEPE channels and
the speed sensor are read in and
processed simultaneously
Diagnosis
• Characteristic values
via SIMATIC S7-1200 and TIA Portal
• Frequency selective
via integrated Web Server
Advantages and Costumer benefits
No additional software for diagnosis and
visualizing needed
IEPE-sensors
BERO
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Hardware requirements
SIPLUS CMS1200: Condition Monitoring with SIMATIC S7-1200
SM1281 – What is required?
Software requirements Optional software
Important:
SM 1281 is supported as of
FW version V4.1 for S7-1200 CPU
• TIA Portal is required to configure the
module
• The lowest license, SIMATIC
STEP 7 Basic, is sufficient for
S7-1200
*) Not available for S7-1200
S7-1200 CPU Max. connectable SM1281
CPU 1211C None
CPU 1212C 2
CPU1214C / 1214FC 7
CPU 1215C / 1215FC 7
CPU 1217C 7
SIMATIC STEP 7
Programming languages
LAB, FBD, SCL, STL*, S7-GRAPH*
STEP 7 Safety option package
WinAC (incl. Failsafe**)
S7-300/400 (incl. Failsafe**)
S7-1500
S7-1200
Pro
fessio
nal
Basic
• If panels are used, optional use of the
corresponding WinCC version is
possible
→ Browser functionality for panels is
NOT supported by SM1281
SIMATIC WinCC
Machine-level operating and monitoring
SCADA applications
SCADA
PC (single user)
Comfort Panels + x77
(without Micro), Mobile
Basic Panels
Pro
fessio
nal
Ad
van
ced
Co
mfo
rt
Basic
Unrestricted © Siemens 2020
Mechanical damages Electrical faults
Drive
Condition Monitoring with SIPLUS CMS
What sort of damage can be detected? An extract
Resonance
Resonance
Blade passing frequency
ImbalanceMeshing fault
Alignment fault
Bearing danage
Field faultBroken rotorbar
Imbalance
Bearing damage Meshing fault
Alignment fault Blade passing frequency
Pump / Fan Gear box
Condition Monitoring with SIPLUS CMS – more than just Motor Condition Monitoring
Field fault stator
Broken rotorbar
Unrestricted © Siemens 2020
SIPLUS CMS1200: Analysis methods
SM1281 – Overview
Monitoring of machine vibration
based on characteristic values
• Simple representation, e.g. via traffic
light
• Trend analysis
Engineering in TIA Portal +
analysis via integrated software
Parameter-based analysis
Frequency-selective diagnostics of
machine vibration and bearing
• Spectrum view
via browser
• Integrated
message system
Engineering in TIA Portal / SM 1281
web-interface +
analysis via integrated software
Frequency-selective analysis
e.g. CMS X-Tools
Freely configurable analysis models,
e.g. for
• Detail analysis
• Gearbox diagnostics
• …
Engineering via separated analysis-
software e. g. CMS X-Tools
Expert analysis
Raw data analysis: on- or offlineMonitoring online in SM1281
Online Datastreaming /
Raw Data Export
Unrestricted © Siemens 2020
Seite 15
Vorteil:
Einfach und schnell realisierbar
Geringe Condition Monitoring Kenntnisse erforderlich
Engineering and configuration
via SIMATIC S7-1200 CPU
or SM 1281 Web Interface
Characteristic value
vRMS frei projektierbar
vRMS acc. To ISO
10816-3
aRMS frei projektierbar
Monitoring of
vRMS:
Machine vibration
aRMS:
e.g. Bearing damages
Characteristic values
vRMS freely configurable
vRMS acc. to ISO 10816-3
Monitoring for
vRMS: machine vibration
Advantages:
Quick and easy to implement
Minor Condition Monitoring expertise required
aRMS / DKW:
e.g. bearing damage
aRMS freely configurable
Signal
Alarm
Warning
OK
• All monitoring parameters can be
set via the S7-1200 CPU
• Monitoring in the SM 1281
• Cyclic transfer to
S7-1200-CPU of:
• RMS value of vibration
velocity
• RMS value of vibration
acceleration
• Status messages
• Display trend on laptop, IPC,
panel, etc.
Mode of operation
Disadvantage:
Type of looming damage not discernable
➔ Troubleshooting required
DKW freely configurable
SIPLUS CMS 1200 Analysis Methods
Parameter-based analysis
Unrestricted © Siemens 2020
Vibration velocity
v [rms]
10-1
000 H
z,
n >
600 1
/min
(2-1
000 H
z,
n >
120 1
/min
) mm/s inch/s
11 0,44
7,1 0,28
4,5 0,18
3,5 0,11
2,8 0,07
2,3 0,04
1,4 0,03
0,71 0,02
Rigid Soft Rigid Soft Rigid Soft Rigid Soft Foundation
Pumps > 15 kW Radial, axial, diagonal
Medium-sized Machines
15 kW < P ≤ 300 kW
Large Machines 300 kW < P < 50
MW Machine typ
Direct Drive Intermediate Shaft
Belt Drive
Motors 160 mm ≤ H < 315
mm
Motors 315 mm ≤ H
Group 4 Group 3 Group 2 Group 1 Group
A Newly commissioned C Short term operation
B Unlimited long term operation D Vibrations cause damage
Realizing the practical example with SM1281
Evaluation of limits for characteristic values
Basic Information to provide limit
values accordance with ISO10816-3
Motor Power: 20kW
Shaft height: 200mm
Foundation: rigid
Fan got newly commissioned
Limit values
Alarm threshold : 4,5 mm/s
Warning threshold: 2,8 mm/s
Unrestricted © Siemens 2020
Benefits of frequency-selective diagnostics:
▪ Each type of mechanical damage has its own unique
frequency spectrum
▪ One glance at the frequency spectrum is sufficient to
determine the cause of damage to within a high degree
of accuracy
▪ The search for the actual cause of the damage is
reduced to a minimum
▪ The amplitude is a measure for the extent of damage,
which allows conclusions to be drawn about the
remaining lifespan. The experience of the operator plays
a decisive role here
SIPLUS CMS 1200 Analysis methods
Frequency-selective analysis: How does it work?
Unrestricted © Siemens 2020
SIPLUS CMS1200: Analysis methods
SM1281 – Frequency-selective analysis
Monitoring for roller
bearing damage
Monitoring for machine
vibration
Signal
Advantages:
Quick and easy to implement
Type of damage identifiable→ less troubleshooting
Electrical faults detectable
Engineering and configuration via
SIMATIC S7-1200 CPU and SM 1281 Web interface • Settings for monitoring the spectra
are made in the SM 1281
• Monitoring in the SM 1281
• Cyclic transmission of
• Characteristic values
• Status messages
for S7-1200 CPU
• Display on PC, panel, etc.
• Access to Web interface
SM 1281 shows
• Spectra
• Trend analyses
How it works
Frequency-selective
analysis with
SM1281
Examples of detectable
mechanical damage
Detectable mechanical damage
Resonance
Imbalance
Misalignment
Coupling fault
Outer race
defect
Inner race
defect
Rolling element
damage
Cage damage
Unrestricted © Siemens 2020
SIPLUS CMS: Condition Monitoring
Customer advantages at a glance
Lower costs
Goal-oriented repair
Shortened commissioning
Planned maintenance
Advantages
Simple design
Open standards
Easy Expandibility
Higher efficiency
Reference condition
Seamless knowledge
Easy error detection
Effective spare part inventories
Longer life cycles
Decision support
Longer service intervals
High availability
SIPLUS CMS – efficiency from the start
Investment protection
Unrestricted © Siemens 2020
TIA
Portal
Controller HMI IPC
TIA
PortalEngineering
Framework
SCADA System
MES
Data Production
ERP
Distributed
I/O
CMS
Systems
Drive Systems
SIPLUS CMS
Mechanical condition data becomes digital added value
• Early detection of mechanical damage
• Consistent predictive maintenance
• Avoidance of unwanted downtimes
• Connection to cloud solutions
• Opens new business opportunities
Transparency of mechanical
components across all levels
Unrestricted © Siemens 2020
The greater potential of the IIoT
Predictive maintenance
• Eliminate downtime
• Drive profitability by detecting and fixing machines before they
break
Process optimization
• More efficiently use and allocate resources within a process
• Increase production rates to limit waste and sunken costs
Analyze and predict
Unrestricted © Siemens 2020
MindSphere Siemens’ cloud-based, open IoT operating system
ApplicationsMindSphere applications provide asset transparency
and analytical insights into machines, plants, fleets
and systems
Open PaaSMindSphere, the open PaaS, gives you scalable, global
IoT connectivity and application development with native
cloud accessibility
ConnectivityMindConnect connects products, plants, systems,
machines, enterprise applications and legacy
databases with a secured plug-and-play collection of
Siemens and third-party products and equipment
Unrestricted © Siemens 2020
SIPLUS CMS 1200
The gateway to a digital enterprise
Automation
Field
Edge
Cloud
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Condition Monitoring with Edge Analytics
MindSphere
MindApps
X-Tools Pro
Server
S7 PLC
Use Case
• The idea is to collect a huge amount of data (up to 50Khz) from a wide range
of data providers and calculate out of the mass data on the line (Edge) KPIs.
• Send the calculated KPIs and preprocessed data into the MindSphere for
further calculations and analysis.
Solution
• These use cases can be done on a Windows system with the extreme open /
flexible CMS X-Tools Professional system.
• On the other hand is can be also done with a very user and price friendly
MindConnect Edge Analytics system.
Benefits
• Select the necessary footprint of your solution (price & performance). Use the
MindConnect hardware platform or Windows platform.
• Use the wide range of available data providers in the complete offering
• Offer an easy entry with a web based solution to non expert users – MCEA
• Offer an open, scalable, windows based analytics product to experts – CMS
X-Tools
• Work with very flexible amount of data (up to 50Khz)
• Do advanced analytics on MindSphere data with X-Tools professional and
MCEA
• Store and work with complex data in MindSphere (Spectra, Orbit, …)
• Easy to use user experience
• Build your analysis per drag & drop
Edge
Automation
X-Tools Pro
ClientMindConnect Edge Analytics
on MindConnect Nano box
MindConnect Edge
Analytics
Unrestricted © Siemens 2020
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Edge analytics with CMS X-Tools
Integration in Mindsphere
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SIMATIC S7-300, 400, 1200 and 1500
SIMATIC WinCC / PCS7 (OPC UA)
SIPLUS CMS SM1281
Third-party sensors
OPC UA SERVER / CLIENT
Modbus TCP / RTU
Device development kit ?
Data processed and sent to
MindSphere
Low to high frequency data from various
sources collected
Data ready for visualization and
analytics
SIMOTION (OPC UA)
MindSphere –
The cloud-based,
open IoT operating
systemX-Tools server hosted
on Microbox PC
Unrestricted © Siemens 2020
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Edge analytics with MindConnect Nano
Integration in Mindsphere
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SIMATIC S7-300, 400, 1200 and 1500
SIMATIC WinCC / PCS7 (OPC UA)
SIPLUS CMS SM1281
OPC UA SERVER / CLIENT
Modbus TCP / RTU
Data processed and sent to
MindSphere
Low to high frequency data from various
sources collected
Data ready for visualization and
analytics
SIMOTION (OPC UA)
MindSphere –
The cloud-based,
open IoT operating
system
MindConnect
EdgeAnalytics on
MindConnect Nano IPC
Unrestricted © Siemens 2020
Analyze and predict • Aggregate and analyze big data from multiple enterprise
systems
• Analytics reveal insights from the data
• New insights create processes to react proactively
• Multi-model-based machine learning predictive analytics
• Prescriptive solutions enhance processes, reduce costs and
increase productivity
Digitize and transform• Interconnection across systems,
devices, applications and services
• Heterogeneous ensemble deep learning modelling
• Business transformation
• New products, apps, new
markets, product as servicesConnect and monitor• Connect assets for remote transparency
• Collect data for use in apps or processes
• Reduce downtime, improve customer
experience
Valu
e c
reation
Prescriptive
Energy Product
Production
Performance
System
of Systems
Deep Learning
EDI and Integrated
Data Lake
Artificial
Intelligence (AI)
Self-
Optimizing
Systems
Intelligent /
Expert Systems
Artificial
Intelligence (AI)
Asset
Performance
ManagementAsset Mgmnt
Condition
MonitoringPredictive
Digital Twin
Augmented Reality
Virtual Reality
Preventative
Maintenance Consumption
OptimizationUsage
Transparency
Closed Loop (CLx)
.
MindSphere Digital Transformation Journey
Unrestricted
Solution Scope
Unrestricted © Siemens 2020
Thank you for your attention
Luis Narvaez
Technical Product & Marketing Manager, S7-1200
Siemens Digital Industries, USA
www.siemens.com/siplus-cms
Subject to changes and errors. The information given in this document only contains general descriptions and/or performance features which may
not always specifically reflect those described, or which may undergo modification in the course of further development of the products. The requested
performance features are binding only when they are expressly agreed upon in the concluded contract.
All product designations, product names, etc. may contain trademarks or other rights of Siemens AG, its affiliated companies or third parties.
Their unauthorized use may infringe the rights of the respective owner.
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