Paper Info
Title
Advanced Pattern Recognition Approach for Fault Diagnosis of Wind Turbines
Abstract
The production of maximum amount of electrical power from wind requires the improvement of wind turbine reliability. The life duration and the good functioning of the wind turbine depend heavily on the reliability of its blades. Thus, a critical task is to detect and isolate faults, as fast as possible, and regain optimal functioning in the shortest time. In this paper, a pattern recognition approach is proposed for fault diagnosis of a wind turbine, in particular the pitch system composed of actuators and sensors. To achieve this task, feature and decision spaces have been defined. The aim of the pitch system is to adjust the pitch angle of a blade in order to optimize the generated electrical power according to the wind speed. Thus, a fault in the pitch system can reduce the wind turbine performance. Pitch system fault diagnosis is a challenging task because the pitch system feedback compensates the effect of the fault in the pitch actuator. In addition, the observation of the pitch actuator performance is very hard due to the strong variability of the wind speed. A wind turbine simulator is used to validate the performance of the proposed approach.
Year
DOI
Venue
2013
10.1109/ICMLA.2013.150
ICMLA (2)
Keywords
Field
DocType
pitch system,fault diagnosis,pitch actuator performance,pitch actuator,wind turbine,wind speed,advanced pattern recognition approach,wind turbine performance,pitch angle,electrical power,pitch system fault diagnosis,pitch system feedback,wind turbines,pattern recognition
Electric power,Pitch angle,Wind speed,Pattern recognition,Computer science,Artificial intelligence,Turbine,Wind power,Actuator
Conference
Citations 
PageRank 
References 
5
0.49
2
Authors
3
Name
Order
Citations
PageRank
Houari Toubakh1121.62
Moamar Sayed-Mouchaweh2173.95
Eric Duviella32311.69