Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis
Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis
复制标题
齿轮箱和轴承故障诊断的循环平稳分析
DOI：
10.1155/2015/542472
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发表时间：
2015
影响因子：
1.6
通讯作者：
Chu Fulei
中科院分区：
文献类型：
--
作者：
Feng Zhipeng;Chu Fulei
齿轮箱和滚动体轴承振动信号具有调制特征，因此是循环平稳的。因此，循环相关和循环谱适合于分析它们的调制特性，从而提取齿轮箱和轴承的故障征兆。为了深入理解齿轮箱和轴承振动的循环平稳性，推导了调幅调频（AM-FM）信号的循环相关和循环谱的显式表达式，并总结了它们的性质。通过齿轮箱和轴承的实验信号分析，验证了理论推导的正确性。提取了齿轮箱和轴承故障引起的调制特征。在齿轮箱和轴承故障情况下，0滞后的循环相关切片和循环谱中出现的峰值比健康情况下出现的峰值更多。通过检查循环相关和循环谱中峰值的存在或监测峰值的幅度变化来检测齿轮和轴承故障，并且根据峰值循环频率位置或边带频率间隔来定位齿轮和轴承故障。
Gearbox and rolling element bearing vibration signals feature modulation, thus being cyclostationary. Therefore, the cyclic correlation and cyclic spectrum are suited to analyze their modulation characteristics and thereby extract gearbox and bearing fault symptoms. In order to thoroughly understand the cyclostationarity of gearbox and bearing vibrations, the explicit expressions of cyclic correlation and cyclic spectrum for amplitude modulation and frequency modulation (AM-FM) signals are derived, and their properties are summarized. The theoretical derivations are illustrated and validated by gearbox and bearing experimental signal analyses. The modulation characteristics caused by gearbox and bearing faults are extracted. In faulty gearbox and bearing cases, more peaks appear in cyclic correlation slice of 0 lag and cyclic spectrum, than in healthy cases. The gear and bearing faults are detected by checking the presence or monitoring the magnitude change of peaks in cyclic correlation and cyclic spectrum and are located according to the peak cyclic frequency locations or sideband frequency spacing.