超声电机摩擦材料局部剥落故障特征提取方法

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (9) : 144-150.

论文

安国庆，张群虎，安琪，韩晓慧，李争，薛智宏

作者信息 +

Fault feature extraction method for local spalling of friction material in ultrasonic motor

AN Guoqing, ZHANG Qunhu, AN Qi, HAN Xiaohui, LI Zheng, XUE Zhihong

Author information +

文章历史 +

摘要

行波型超声电机摩擦材料局部剥落故障直接影响电机输出性能，并加速电机失效。针对故障信息易受噪声干扰，尤其故障初期特征难以提取的问题，文中将孤极电压信号作为处理对象，提出了一种基于LCD（Local Characteristic-scale Decomposition）与Teager能量算子相结合的故障特征提取方法。首先，对原始信号样本进行LCD分解得到不同内禀尺度分量，并通过自相关分析对各分量进行重构，实现降噪预处理；其次，利用Teager能量算子对重构信号低频段所包含的故障信息进行放大；最后，筛选低频段故障频率成分，提出了以幅值和频率信息为基础的故障特征计算方法。实验结果表明，该方法可有效表征行波型超声电机摩擦材料局部剥落的扩增趋势，并具备一定噪声背景下的适用性。

Abstract

The local defect in friction materials of traveling wave ultrasonic motor directly affects the output performance and accelerates the failure process. However, the fault information is too weak for the noise in the mechanical coupling process between stator and rotor especially in the slight degradation. In this paper, monitor electrode voltage was taken as the analyzed signal, and a fault feather extraction method based on LCD (Local Characteristic-scale Decomposition) and Teager energy operator was proposed. Firstly, intrinsic scale components were obtained by LCD method, and signal was reconstructed via correlation analysis for de-noising; Then, fault information contained in the low frequency band of the reconstructed signal was amplified by Teager energy operator; Finally, the fault feature calculation method was detailed according to the amplitude and frequency of the prominent fault component in the spectrum. The analysis of actual test data demonstrates that the proposed fault feature is effective to reflect the change trend of local defect area in friction materials of ultrasonic motor, and it is also feasible under certain noise background.

导出引用

安国庆，张群虎，安琪，韩晓慧，李争，薛智宏. 超声电机摩擦材料局部剥落故障特征提取方法[J]. 振动与冲击, 2022, 41(9): 144-150

AN Guoqing, ZHANG Qunhu, AN Qi, HAN Xiaohui, LI Zheng, XUE Zhihong. Fault feature extraction method for local spalling of friction material in ultrasonic motor[J]. Journal of Vibration and Shock, 2022, 41(9): 144-150

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