Numerical magnetic field analysis and signal processing for fault diagnostics of electrical machines

被引：25
|
作者：
Pöyhönen, S
Negrea, M
Jover, P
Arkkio, A
Hyötyniemi, H
机构：
[1] Aalto Univ, Control Engn Lab, Dept Automat & Syst Technol, FIN-02150 Espoo, Finland
[2] Aalto Univ, Lab Electromech, Dept Elect Engn, FIN-02150 Espoo, Finland
来源：
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING | 2003年 / 22卷 / 04期
关键词：
condition monitoring; electromagnetic fields; electrical machines; finite element method; signal processing; fault analysis;
D O I：
10.1108/03321640310482931
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Numerical magnetic field analysis is used for predicting the performance of an induction motor and a slip-ring generator having different faults implemented in their structure. Virtual measurement data provided by the numerical magnetic field analysis are analysed using modem signal processing techniques to get a reliable indication of the fault. Support vector machine based classification is applied to fault diagnostics. The stator fine current, circulating currents between parallel stator branches and forces between the stator and rotor are compared as media of fault detection.
引用
收藏
页码：969 / 981
页数：13
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