Review of Signal Processing Methods in Fault Diagnosis  for Machinery

doi:10.3969/j.issn.1006-1335.2013.02.029

Abstract

摘要： 应用信号处理方法对振动信号进行特征提取的技术是机械设备故障诊断领域的重要研究方向。常用的机械设备故障诊断领域的信号处理方法主要包括时域分析、频域分析和时频分析。针对常用的振动信号处理方法，总结多种算法的特征和优缺点。根据常见机械设备关键构件的振动特征，选择不同的信号处理和特征提取算法进行分析，以便提高多种构件、多类故障的特征提取精度和可靠性，从而为有效地实现机械设备的故障提供参考。

关键词: 振动与波, 故障诊断, 振动信号, 特征提取, 信号处理

CLC Number:

TB53

王金福，李富才. 机械故障诊断技术中的信号处理方法：时域分析[J]. 噪声与振动控制, 2013, 33(2): 128-132.

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Review of Signal Processing Methods in Fault Diagnosis for Machinery

机械故障诊断技术中的信号处理方法：时域分析

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