Induction Motor Fault Diagnosis Based On A Hilbert Current Space Vector Pattern Analysis

被引：0

作者：

Ben Salem, Samira ^{[1
]}

Bacha, Khmais ^{[1
]}

Gossa, Moncef ^{[1
]}

机构：

[1] Higher Sch Sci & Technol Tunis, Unit Res Control Monitoring & Reliabil Syst, Tunis, Tunisia

来源：

2012 16TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (MELECON) | 2012年

关键词：

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：

In this work we propose an original failure signature based on the current Hilbert-Park vector pattern analysis. The advantage of this approach is which does not require a long temporal recording, and their processing is simple. This analysis offers an easy interpretation to conclude on the induction motor condition and its voltage supply state. The proposed signature shows its robustness and its power especially in the case of unloaded machine. This approach was applied to a 1.1 kw induction motor under normal operation and with the following fault: voltage unbalanced, broken rotor bar, air-gap eccentricity and ball bearing defect.

引用

页码：818 / 823

页数：6

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