Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your...
Transcript of Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your...
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We listen to your turbineValeri Voev | Siemens Wind Power
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3. Accelerated Lifetime Models
2. Vibration Diagnostics
1. Model Based Diagnostics
What’s Next?
Agenda
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Would you consider Siemens as your supplier of
choice for wind power technology and service if we
didn’t invest and innovate in data analytics?
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Siemens Remote Diagnostic Services (RDS)
In August 2014 Siemens Wind Service opened its new Diagnostic Centre in DK
~10,000Globally monitored
wind turbines
>200GB/dayreceived data from
numerous sensors
24/7center manned all day –
every day
>85%of issues can be
resolved remotely
98%of serious
component
failures detected
in advance
Vibration
Diagnostics
Model Based
Diagnostics
Remote Data
Analysis
Turbine Setup
Control
Diagnostic
Support
24/7 Remote
Alarm Handling
Software Update
24/7 Remote
Monitoring
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Model Based Diagnostics (MBD)
MBD uses data from all sensors in the turbine to detect a deviant behavior (symptoms) in a system
before it results into a warning or a fault.
Examples include:
Room temperature models
Cooling capacity models
Leak detection models
Electronics environment models
20%
40%
40%
Inside a model
AutonomousLearning
Math &Analytics
ExpertKnowledge& Experience
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MBD: Example
Converter cooling system
Expansion tank pressure model
What you need to know:
1. System topology
2. System design
3. Control strategy (software)
4. Physics
5. Learning algorithms
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Vibration Diagnostics (VD)
Pythia Diagnostics:
• Very early warning
• Daily health check
• Prognostics
• Sparepart forecasting
• Risk based planning
• > 99% hitrate on drive train damages
M-system Sensors Site serverSoftware
TCM Diagnostics:
• 24/7 monitoring of critical errors
• Fast and automatic shut down
• > 98% hitrate on drive train damages
Configuration
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A model of the type
is called an accelerated lifetime model,
where is a ”stress space”.
Accelerated Lifetime Models (ALM)
Standard Weibull Model How to incoporate (site specific) effects of:
• wind speed
• turbulence
• temperature
• etc?
Example:
where T is temperature is based on Arrhenius
equation linking temperature to chemical
reaction rates
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ALM application
A main wind turbine component is exposed to insulation wear which is accelerated by high
ambient temperature and/or wind speed. Number of failures on otherwise identical sites
varies widely.
Component temperature
Site A
Site B
Site A
Site B
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What’s next
Next generation MBD
Feature selection
Image recognition
Cognitive analytics