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基于小波变换和模糊推理的轴承故障诊断

1 ALSTOM Power Inc
2 Case Western Reserve University

Abstract

本文提出了一种基于小波变换和神经模糊分类的球轴承局部缺陷诊断新方案。从电机驱动的实验系统中采集了正常轴承、内圈故障轴承和滚珠故障轴承的振动信号。利用小波变换对加速度计信号进行处理并生成特征向量。训练了自适应神经模糊推理系统(ANFIS),并将其用作诊断分类器。为了进行比较,还研究了欧氏向量距离法和向量相关系数法。结果表明,所开发的诊断方法在存在负载变化的情况下,能够可靠地区分不同的故障状态。

Keywords

How to Cite

Lou, X., & Loparo, K. A. (2026). 基于小波变换和模糊推理的轴承故障诊断. 亚洲社会创新与发展期刊, 2(1), 19. 取读于 从 https://www.ajsid.org/index.php/pub/article/view/20

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