ANFIS-based diagnosis and location of stator interturn faults in PM brushless dc motors

被引:21
|
作者
Awadallah, MA [1 ]
Morcos, MM [1 ]
机构
[1] Kansas State Univ, Manhattan, KS 66502 USA
关键词
adaptive fuzzy systems; fault diagnosis; fault location; permanent-magnet (PM) brushless dc motors;
D O I
10.1109/TEC.2004.837273
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
An automatic scheme for fault diagnosis and location of stator-winding interturns in permanent-magnet brushless dc motors is presented. System performances under healthy and faulty operation are obtained via a discrete-time model. Waveform of the electromagnetic torque is monitored and processed using discrete Fourier transform and short-time Fourier transform to derive proper diagnostic indices. Two adaptive neuro-fuzzy inference systems (ANFIS) are developed to automate the fault diagnosis process. Test results show an acceptable performance for ANFIS in detecting the fault.
引用
收藏
页码:795 / 796
页数:2
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