电流信号频谱分量的频率提取:一种检测异步电动机转子电气故障的新工具

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2019-08-01 DOI:10.1109/DEMPED.2019.8864893

P. Panagiotou, I. Arvanitakis, N. Lophitis, K. Gyftakis

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引用次数: 1

摘要

这项工作扩展了经典的电流特征分析在感应电机在两阶段的频谱分解方式。所提出的方法可以概括为两个主要步骤:首先，使用时频表示对电流信号进行分析，重点分析稳态状态;然后，对感兴趣的频谱特征进行频率提取，旨在识别由故障相关速度纹波效应引起的特定故障相关谐波子分量。该方法在一台4kw异步电动机上进行了实验验证。

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Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors

This work expands the classical current signature analysis in induction machines in a two-stage spectral decomposition manner. The proposed methodology can be summarized in two main steps: initially, the current signals are analyzed using a time frequency representation, with the analysis focusing on the steady-state regime; thereafter, frequency extraction is applied to the spectral signatures of interest, aiming to identify specific fault related harmonic subcomponents induced by the fault related speed ripple effect. The proposed approach is verified experimentally on a 4 kW induction motor.

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来源期刊

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

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