Short-Circuit Detection by Means of Empirical Mode Decomposition and Wigner-Ville Distribution for PMSM Running Under Dynamic Condition

被引：164

作者：

Rosero, Javier A. ^{[1
,2
]}

Romeral, Luis ^{[2
]}

Ortega, Juan A. ^{[2
]}

Rosero, Esteban ^{[3
]}

机构：

[1] ABB Co, Barcelona 08012, Spain

[2] Univ Politecn Cataluna, Dept Elect Engn, Mot Control & Ind Applicat Grp, Terrassa 08222, Spain

[3] Univ Valle, Sch Elect & Elect Engn, Res Grp Ind Control GICI, Cali 25360, Colombia

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2009年 / 56卷 / 11期

关键词：

Electric machines; empirical mode decomposition (EMD); fault diagnosis; intrinsic mode function (IMF); motor diagnosis; permanent-magnet motors; Wigner-Ville distribution (WVD); FAULT-DIAGNOSIS; STATOR WINDINGS; MOTOR; MACHINES; SYSTEMS;

D O I：

10.1109/TIE.2008.2011580

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 presents and analyzes a method for short-circuit fault detection in a permanent-magnet synchronous motor (PMSM). The study includes steady-state condition and speed transients in motor operation. The stator current is decomposed by empirical mode decomposition (EMD), which generates a set of intrinsic mode functions (IMFs). Quadratic time-frequency (TF) distributions such as smoothed pseudo-Wigner-Ville and Zhao-Atlas-Marks are applied on the more significant IMFs for fault detection. Simulations and experimental laboratory tests validate the algorithms and demonstrate that this kind of TF analysis can be applied to detect and identify short-circuit failures in PMSM.

引用

页码：4534 / 4547

页数：14

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