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
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.569
