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

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 2004年 / 19卷 / 04期

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

下载

页码：795 / 796

页数：2

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