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

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (9) : 144-150.

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

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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.

Key words

ultrasonic motor / friction materials / monitor electrode voltage / fault feature extraction / local characteristic-scale decomposition / Teager energy operator

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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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