DocumentCode
2743299
Title
The Diagnosis Method for Converter Fault of the Variable Speed Wind Turbine Based on the Neural Networks
Author
Wang Zhe ; Guo Qingding
Author_Institution
Shenyang Univ. of Technol., Shenyang
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
615
Lastpage
615
Abstract
Because the converter circuit model of the doubly-fed wind turbine has strong nonlinear, it is difficult to diagnose fault online usually. In this paper, using the nonlinear mapping characteristic of the neural networks, a BP neural networks fault diagnosis method which bases on wave direct analysis is proposed, which achieves the wind turbine converter circuit fault diagnosis online. The actual run results show the method is effective.
Keywords
fault diagnosis; neural nets; power convertors; power engineering computing; wind turbines; BP neural networks fault diagnosis method; converter circuit model; converter fault diagnosis method; doubly-fed wind turbine; nonlinear mapping characteristic; variable speed wind turbine; wave direct analysis; Bridge circuits; Circuit faults; Fault diagnosis; Instruments; Merging; Neural networks; Power generation; Real time systems; Wind energy generation; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.569
Filename
4428256
Link To Document