TY - GEN
T1 - Fault diagnosis and location of brushless DC motor system based on wavelet transform and artificial neural network
AU - Yu, Kaiping
AU - Yang, Fang
AU - Guo, Hong
AU - Xu, Jinquan
PY - 2010
Y1 - 2010
N2 - The reliability of Electro-mechanical Actuator (EMA) is extremely important in industrial, commercial, aerospace, and military applications. Fault diagnosis and location of the brushless DC motor (BLDCM) system used in the EMA offer a means of improving reliability and security of the EMA. In this paper normal model as well as three fault models of the BLDCM system, which are stator winding inter-turn short circuit fault model, open-switch fault model and open-winding fault model, are developed. Performance characteristics under the faulty conditions are studied through simulation. Using Wavelet Transform (WT) and Artificial Neural Network (ANN), fault diagnosis and location method of BLDCM system is developed. Simulation results demonstrate the validity of the proposed method.
AB - The reliability of Electro-mechanical Actuator (EMA) is extremely important in industrial, commercial, aerospace, and military applications. Fault diagnosis and location of the brushless DC motor (BLDCM) system used in the EMA offer a means of improving reliability and security of the EMA. In this paper normal model as well as three fault models of the BLDCM system, which are stator winding inter-turn short circuit fault model, open-switch fault model and open-winding fault model, are developed. Performance characteristics under the faulty conditions are studied through simulation. Using Wavelet Transform (WT) and Artificial Neural Network (ANN), fault diagnosis and location method of BLDCM system is developed. Simulation results demonstrate the validity of the proposed method.
UR - https://www.scopus.com/pages/publications/78651379670
M3 - 会议稿件
AN - SCOPUS:78651379670
SN - 9788986510119
T3 - 2010 International Conference on Electrical Machines and Systems, ICEMS2010
SP - 1048
EP - 1052
BT - 2010 International Conference on Electrical Machines and Systems, ICEMS2010
T2 - 2010 International Conference on Electrical Machines and Systems, ICEMS2010
Y2 - 10 October 2010 through 13 October 2010
ER -