DocumentCode :
151076
Title :
Fault diagnosis of wind turbine using control loop current signals
Author :
Jun Hang ; Jianzhong Zhang ; Ming Cheng
Author_Institution :
Sch. of Electr. Eng., Southeast Univ., Nanjing, China
fYear :
2014
fDate :
14-18 Sept. 2014
Firstpage :
3119
Lastpage :
3124
Abstract :
This paper presents a fault diagnosis method for direct-drive wind turbine with permanent magnet synchronous generator (D-PMSG) by using generator control loop current signals. In this method, the Vold-Kalman filtering order tracking technique is used to track the fault characteristic harmonic components from q-axis current signals. Then the envelopes of amplitudes of the fault harmonic components are calculated and applied for fault diagnosis of D-PMSG. To verify the proposed method, the simulation model is established in MATLAB/Simulink and the simulations are carried out. The results show that the proposed method is effective, where blade imbalance and winding asymmetry faults are successfully detected.
Keywords :
Kalman filters; electric drives; fault diagnosis; filtering theory; permanent magnet generators; power generation control; power generation faults; power system harmonics; synchronous generators; wind power plants; wind turbines; D-PMSG; MATLAB; Simulink; Vold-Kalman filtering order tracking technique; blade imbalance detection; direct-drive wind turbine; fault characteristic harmonic component tracking; fault diagnosis method; fault harmonic component amplitude envelope; generator control loop current signals; permanent magnet synchronous generator; q-axis current signals; simulation model; winding asymmetry fault detection; Fault diagnosis; Generators; Harmonic analysis; Mathematical model; Power harmonic filters; Shafts; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
Conference_Location :
Pittsburgh, PA
Type :
conf
DOI :
10.1109/ECCE.2014.6953824
Filename :
6953824
Link To Document :
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