基于小波优化的转子断条故障诊断

Pu Shi, Zheng Chen, Y. Vagapov, Z. Zouaoui
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引用次数: 5

摘要

本文讨论了最优小波方法在转子断条诊断中的应用。本文推导并分析了特定频段定子电流的离散小波系数(DWT)。比较db8, db9, db10, sym7和sym8小波,选择最优的一个。该方法便于在负荷变化情况下对转子断条的发生或断条数的偶次进行检测和诊断。对1条、2条和3条断条的感应电机进行了仿真和实验测试,验证了该方法的故障检测效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal wavelets for broken rotor bars fault diagnosis
This paper discusses the use of an optimal wavelets approach for broken rotor bars diagnosis. In this paper, discrete wavelet coefficients (DWT) of stator current in a specific frequency band are derived and analyzed. Wavelets db8, db9, db10, sym7 and sym8 are compared to select a most optimal one. This approach facilitates the detection and diagnosis of broken rotor bar occurrence or even number of broken bars under load variation. Simulation and experimental tests on inductions motors with 1, 2, and 3 broken bars are conducted, which demonstrate the effective fault detection of the proposed approach.
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