Advances in Diagnostic Techniques for Induction Machines

被引：817

作者：

Bellini, Alberto ^{[1
]}

Filippetti, Fiorenzo ^{[2
]}

Tassoni, Carta ^{[3
]}

Capolino, Gerard-Andre ^{[4
]}

机构：

[1] Univ Modena & Reggio Emilia, Dept Sci & Methods Engn, I-42100 Reggio Emilia, Italy

[2] Univ Bologna, Dept Elect Engn, I-40136 Bologna, Italy

[3] Univ Parma, Dept Informat Engn, I-43100 Parma, Italy

[4] Univ Picardie, Dept Elect Engn, F-80025 Amiens, France

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2008年 / 55卷 / 12期

关键词：

Adaptive signal processing; artificial intelligence (AI); bearings; diagnostic reasoning; fault diagnosis; Fourier transforms; fuzzy neural networks; induction machines; induction motor drives; induction motor protection; industrial power system maintenance; pattern recognition; signal processing; time-frequency analysis; wavelet transforms;

D O I：

10.1109/TIE.2008.2007527

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates diagnostic techniques for electrical machines with special reference to induction machines and to papers published in the last ten years. A comprehensive list of references is reported and examined, and research activities classified into four main topics: 1) electrical faults; 2) mechanical faults; 3) signal processing for analysis and monitoring; and 4) artificial intelligence and decision-making techniques.

引用

页码：4109 / 4126

页数：18

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