Induction motor stator current analysis for planetary gearbox fault diagnosis under time-varying speed conditions
Induction motor stator current analysis for planetary gearbox fault diagnosis under time-varying speed conditions
复制标题
时变速条件下行星齿轮箱故障诊断的感应电机定子电流分析
DOI：
10.1016/j.ymssp.2020.106691
复制
发表时间：
2020-06
影响因子：
8.4
通讯作者：
Zhipeng Feng
中科院分区：
文献类型：
--
作者：
Xiaowang Chen;Zhipeng Feng
时变转速条件下基于振动的行星齿轮箱故障诊断具有挑战性。本文利用电机定子电流信号易于获取和调频结构简单的优点，将电机电流特征分析技术应用于行星齿轮箱故障诊断。首先，对时变转速条件下行星齿轮箱故障和气隙偏心的感应电机定子电流信号进行了解析建模，总结了时变行星齿轮箱故障特征的特征。然后，针对电机定子电流信号中相对微弱且时变的故障特征难以被揭示和呈现的问题，采用了自适应迭代广义解调方法。将傅里叶变换替代检验与迭代广义解调算法相结合，解决了弱故障特征提取问题，并将验证后的单分量的Hilbert谱最终组成分析后的电机定子电流信号的时频表示。在不同的齿轮故障情况下进行了数值模拟以及实验室实验评估，以验证推导出的时变齿轮故障特征的正确性，以及精确的行星齿轮箱故障诊断的有效性。
Vibration-based planetary gearbox fault diagnosis under time-varying speed conditions is challenging. This work exploits the advantages of motor stator current signal in easier accessibility and simpler frequency modulation structure, and applies the motor current signature analysis technique on planetary gearbox fault diagnosis. Firstly, the induction motor stator current signal with both planetary gearbox fault and airgap eccentricity under time-varying speed .conditions is analytically modeled, and properties of time-varying planetary gearbox fault signatures are summarized. Then, to address the difficulties of revealing and presenting relatively weak and time-varying fault signatures in motor stator current signal, the adaptive iterative generalized demodulation is utilized. The Fourier transform surrogate test is integrated with iterative generalized demodulation algorithm to solve the problem of weak fault signature .extraction, and Hilbert spectra of validated mono-components finally compose the time-frequency representation of analyzed motor stator current signal. Both numerical simulation as well as lab experimental evaluations in different gear fault cases, have been conducted to verify the correctness of the derived time-varying gear fault signatures, and the effectiveness of accurate planetary gearbox fault diagnosis.
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