Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

An Guoqing; Li Hongru

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Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

机译：基于故障特征提取的裂纹超声电机退化状态识别

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摘要

The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction method based on multiscale morphological spectrum and permutation entropy is proposed. Firstly, a signal retaining the morphological feature under different scales is reconstructed with multiscale morphological spectrum components. Then, the permutation entropy of the reconstructed signal is taken as the fault feature of piezoelectric ceramics. Furthermore, a sensitivity factor is defined to optimize the embedded dimension and delay time of permutation entropy according to double sample Z value analysis. Finally, a matrix composed of the probability distributions, obtained from permutation entropy calculation, is applied for the degradation state identification by means of probability distribution divergence. The analysis of actual test data demonstrates that this method is feasible and effective.

机译：压电陶瓷的破裂是超声波马达故障的主要原因。由于故障信息太弱，无法反映压电陶瓷的状态，尤其是在退化初期，因此提出了一种基于多尺度形态谱和置换熵的故障特征提取方法。首先，利用多尺度形态谱分量重建不同尺度下保留形态特征的信号。然后，将重构信号的置换熵作为压电陶瓷的故障特征。此外，根据双样本Z值分析，定义了一个灵敏度因子来优化置换熵的嵌入维数和延迟时间。最后，将通过排列熵计算得到的由概率分布组成的矩阵用于概率分布散度的退化状态识别。对实际测试数据的分析表明，该方法是可行和有效的。

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来源
《Shock and vibration》 |2019年第3期|5180590.1-5180590.13|共13页
作者
An Guoqing; Li Hongru;
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作者单位

Army Engn Univ Shijiazhuang 050003 Hebei Peoples R China|Hebei Univ Sci & Technol Shijiazhuang 050018 Hebei Peoples R China;

Army Engn Univ Shijiazhuang 050003 Hebei Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
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正文语种 eng
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1. Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method [J] . Guoqing An, Hongru Li Shock and vibration . 2019,第1期

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7. Fault Feature Extraction and Degradation State Identification for Piezoelectric Ceramics Cracking in Ultrasonic Motor Based on Multi-Scale Morphological Gradient [O] . Guoqing An, Hongru Li, Baiyan Chen 2019

机译：基于多尺度形态梯度的超声波电动机压电陶瓷裂缝的故障特征提取与降解状态识别

Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

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