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Bearing damage detection via wavelet packet

机译:通过小波包检测轴承损坏

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摘要

Bearing faults are one of the major causes of motor failures. The bearing defects induce vibration resulting in the modulation of the stator current. In this paper, the stator current is analyzed via wavelet packet decomposition to detect beating defects. The proposed method enables the analysis of frequency bands that can accommodate the rotational speed dependence of the beating-defect frequencies. The wavelet packet decomposition also provides a better treatment of nonstationary stator current than currently used Fourier techniques.
机译:轴承故障是电机故障的主要原因之一。轴承缺陷会引起振动,从而导致定子电流的调制。本文通过小波包分解分析定子电流,以检测跳动缺陷。所提出的方法使得能够分析能够适应跳动缺陷频率的转速依赖性的频带。与当前使用的傅立叶技术相比,小波包分解还可以更好地处理非平稳定子电流。

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