Health Monitoring of Offshore Wind Turbines Online Fault Detection and Identification Module Test Case: Pitch Offset

Nevena Perisic; Bo Juul Pedersen; Poul Henning Kirkegaard

Health Monitoring of Offshore Wind Turbines Online Fault Detection and Identification Module Test Case: Pitch Offset

Nevena Perisic, Bo Juul Pedersen, Poul Henning Kirkegaard

Research output: Contribution to conference › Poster › Research › peer-review

Abstract

LACobserver is a model based health monitoring (HM) system for wind turbines (WTGs) which provides an intuitive engineering link between load and strength parameters. The present work demonstrates a newly developed LACobserver Fault Detection and Identification (FDI) module for online detection of pitch offset and corresponding root causes. Blade-to-blade pitch offset slowly degrade the WTG performance and results in lower WTG annual energy production and higher structural loads. Thus, a FDI strategy will increase wind turbine efficiency, performance and operational lifetime.

Original language	English
Publication date	2011
Number of pages	1
Publication status	Published - 2011
Externally published	Yes

Cite this

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title = "Health Monitoring of Offshore Wind Turbines Online Fault Detection and Identification Module Test Case: Pitch Offset",

abstract = "LACobserver is a model based health monitoring (HM) system for wind turbines (WTGs) which provides an intuitive engineering link between load and strength parameters. The present work demonstrates a newly developed LACobserver Fault Detection and Identification (FDI) module for online detection of pitch offset and corresponding root causes. Blade-to-blade pitch offset slowly degrade the WTG performance and results in lower WTG annual energy production and higher structural loads. Thus, a FDI strategy will increase wind turbine efficiency, performance and operational lifetime.",

author = "Nevena Perisic and Pedersen, {Bo Juul} and Kirkegaard, {Poul Henning}",

year = "2011",

language = "English",

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TY - CONF

T1 - Health Monitoring of Offshore Wind Turbines Online Fault Detection and Identification Module Test Case: Pitch Offset

AU - Perisic, Nevena

AU - Pedersen, Bo Juul

AU - Kirkegaard, Poul Henning

PY - 2011

Y1 - 2011

N2 - LACobserver is a model based health monitoring (HM) system for wind turbines (WTGs) which provides an intuitive engineering link between load and strength parameters. The present work demonstrates a newly developed LACobserver Fault Detection and Identification (FDI) module for online detection of pitch offset and corresponding root causes. Blade-to-blade pitch offset slowly degrade the WTG performance and results in lower WTG annual energy production and higher structural loads. Thus, a FDI strategy will increase wind turbine efficiency, performance and operational lifetime.

AB - LACobserver is a model based health monitoring (HM) system for wind turbines (WTGs) which provides an intuitive engineering link between load and strength parameters. The present work demonstrates a newly developed LACobserver Fault Detection and Identification (FDI) module for online detection of pitch offset and corresponding root causes. Blade-to-blade pitch offset slowly degrade the WTG performance and results in lower WTG annual energy production and higher structural loads. Thus, a FDI strategy will increase wind turbine efficiency, performance and operational lifetime.

M3 - Poster

ER -