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We listen to your turbine Valeri Voev | Siemens Wind Power siemens.com/wind Restricted © Siemens AG 2016

Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

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Page 1: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

We listen to your turbineValeri Voev | Siemens Wind Power

Restricted © Siemens AG 2016 siemens.com/windRestricted © Siemens AG 2016

Page 2: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

Restricted © Siemens AG 2016

3. Accelerated Lifetime Models

2. Vibration Diagnostics

1. Model Based Diagnostics

What’s Next?

Agenda

Page 3: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

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?

Page 4: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

Restricted © Siemens AG 2016

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

Page 5: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

Restricted © Siemens AG 2016

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

Page 6: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

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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

Page 7: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

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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

Page 8: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

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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

Page 9: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

Restricted © Siemens AG 2016

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

Page 10: Valeri Voev | Siemens Wind Power - ewea. · PDF fileWould you consider Siemens as your supplier of choice for wind power technology and service if we didn’t invest and innovate in

Restricted © Siemens AG 2016

What’s next

Next generation MBD

Feature selection

Image recognition

Cognitive analytics