基于量子Hadamard变换的滚动轴承振动信号分析方法

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Abstract Based on the traditional analysis method for rolling bearing vibration signals,in the process of de-noising it is easy to confuse noises and non-noises.To solve the problem,an analysis method based on the quantum Hadamard transform was proposed.In the method the inner information was analysed deeply at every sampling point by using the quantum transform.Then the fault information in fault vibration signals was highlighted during the signal de-noising.In the data processing,the analysis effects were improved by virtue of the quantum theory.The experiment results show that comparing with the traditional mathematical morphology analysis algorithm,the method based on the quantum Hadamard transform can better improve the effect of de-noising and enhance the fault signals for rolling bearings.

Key words： signal analysis vibration signal quantum Hadamard transform

Received: 07 June 2017 Published: 15 January 2019

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	Articles by authors
	WANG Huaiguang1
	CHEN Yanlong2
	YANG Wangcan1
	WANG Qiang1

Cite this article:

WANG Huaiguang1,CHEN Yanlong2,YANG Wangcan1, et al. Analysis method based on the quantum Hadamard transform for rolling bearing vibration signals[J]. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(2): 116-122.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2019/V38/I2/116

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