基于循环谱分析的齿轮箱诊断

Zhipeng Feng, M. Zuo
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引用次数: 2

摘要

针对齿轮振动的循环平稳性,利用循环谱分析提取齿轮振动信号的调制特征,从而检测和定位齿轮局部损伤。推导了齿轮振动信号的调幅和调频过程特征的循环谱密度,总结了其在联合循环频域的特性。通过对某齿轮箱正常和故障状态下振动信号的分析,说明了循环谱分析在齿轮故障诊断中的作用。根据循环频率-频率平面上是否存在较多的峰值来检测齿轮齿剥落,并根据循环频谱峰值的位置进行定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gearbox diagnosis based on cyclic spectral analysis
With regards to the cyclostationarity of gear vibration, cyclic spectral analysis is used to extract the modulation features of gearbox vibration signals, so as to detect and locate localized gear damage. The cyclic spectral density of amplitude modulation and frequency modulation processes characteristic of gear vibration signals is deduced, and its properties in joint cyclic frequency-frequency domain are summarized. The performance of cyclic spectral analysis in gear fault diagnosis is illustrated by the vibration signal analysis of a gearbox under normal and faulty status. The gear tooth spalling is detected according to the presence of more peaks on the cyclic frequency-frequency plane, and is located according to the location of cyclic spectral peaks.
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