基于支持向量的鼠笼感应电机转子故障诊断

2012 XXth International Conference on Electrical Machines Pub Date : 2012-11-12 DOI:10.1109/ICELMACH.2012.6350128

S. Hamdani, H. Mezerreg, B. Boutikar, N. Lahcene, O. Touhami, R. Ibtiouen

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引用次数: 11

摘要

本文研究了鼠笼式转子感应电机电气缺陷的诊断方法。介绍了感应电机的故障及其诊断方法。其中，电机电流特征分析(Motor Current Signature Analysis, MCSA)用于检测转子断条和端环段的断裂。研究了负荷水平和负荷对故障诊断的影响。采用支持向量机(SVM)对故障进行分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Rotor fault diagnosis in a Squirrel-Cage Induction Machine using support vector

This paper deals with the diagnosis of electrical defects of Squirrel-Cage Rotor Induction Machines (IMs). The failures of induction machine and the diagnosis methods are presented. Among the methods, Motor Current Signature Analysis (MCSA) is used in the experimental study to detect broken rotor bars and end-ring segment. The load level and the load effects on the diagnosis are also studied. Support vector machines (SVM) is applied to classify faults.

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2012 XXth International Conference on Electrical Machines

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