文章基本信息

标题：Characteristic Performance Analysis of Electrical Machine with Faults via Wavelet Transforms
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作者：Khaleel J. Hammadi ; Ahmed R. Ajel ; Salam Ibrahim Kadhim 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2015
卷号：4
期号：6
页码：139-142
出版社：International Journal of Soft Computing & Engineering
摘要：This paper presents a novel approach to electrical machine current signature analysis based on wavelet transform of the stator current by using labview programming. The novelty of the proposed method lies in the fact that by using WT method the inherent non stationary nature of stator current can be accurately considered. The key characteristics of the proposed method are its ability to provide feature representations of multiple frequency resolutions for faulty modes, ability to clearly differentiate between healthy and faulty conditions, and its applicability to non-stationary signals. Successful implementation of the system for rotor bar breakage is demonstrated here .The condition monitoring of the electrical machines can significantly reduce the costs of maintenance by allowing the early detection of faults, which could be expensive to repair. The applied method is the wavelet transform which utilizes the results of the stator current
关键词：Electrical machine; Mechanical fault; Wavelet;transform; NI USB