Fault Diagnostic Techniques for Induction Machines through Finite Element Analysis

被引：0

作者：

Subramaniam, Aravinth ^{[1
]}

Sahoo, Animesh Kumar ^{[1
]}

Manohar, Sai Srinivas ^{[1
]}

Panda, Sanjib Kuamr ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Fac Engn, Sembcorp NUS Corp Lab, Singapore, Singapore

来源：

2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2017年

基金：

新加坡国家研究基金会;

关键词：

Condition monitoring; Fault Signature; Finite Element analysis; Induction machine;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Electrical and mechanical faults in a three phase Induction machine is modelled and analysed, to identify potential fault signatures. Electrical, magnetic and torque signatures are analysed for various faults and their combinations, for potential fault signature identification. A multi-physics Finite Element tool is chosen for this analysis considering the possibilities to extend the study to thermal and structural analysis.

引用

页数：4

共 7 条

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