A new method for early fault detection and diagnosis of broken rotor bars

被引：59

作者：

Aydin, Ilhan ^{[1
]}

Karakose, Mehmet ^{[1
]}

Akin, Erhan ^{[1
]}

机构：

[1] Firat Univ, Fac Engn, Dept Comp Engn, TR-23119 Elazig, Turkey

来源：

ENERGY CONVERSION AND MANAGEMENT | 2011年 / 52卷 / 04期

关键词：

Motor current signature analysis; Fault diagnosis; Sliding window; Hilbert transform; Induction motors; INDUCTION-MOTORS; SIGNATURE ANALYSIS; HILBERT;

D O I：

10.1016/j.enconman.2010.11.018

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A new method has been developed for the detection and diagnosis of broken rotor bars faults in three-phase induction motors under no-load conditions. Early detection of faults is made by using a sliding window constructed by Hilbert transforms of one of the phases of the thee-phase currents and the size of a fault is diagnosed by motor current signature analysis (MCSA) of the stored Hilbert transforms of several periods of one-phase current. The information entropy of a symbol tree generated by each sliding window is used as a fault index. The method was tested using healthy and damaged 0.37 kW induction motors under no-load conditions with applied voltages ranging from 220 V to 380 V. One and two broken rotor bars were detected under no-load conditions when supply voltages were 260 V and above. The results indicate that the method yields a high degree of accuracy in fault identification. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1790 / 1799

页数：10

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