基于量子Hadamard变换的滚动轴承振动信号分析方法  

Analysis method based on the quantum Hadamard transform for rolling bearing vibration signals

作　　者：王怀光[1] 陈彦龙 杨望灿[1] 王强[1] WANG Huaiguang;CHEN Yanlong;YANG Wangcan;WANG Qiang(The 7th Department,Ordnance Engineering College,Shijiazhuang 050003,China;PLA Army Special Operations College of Engineering,Guilin 541000,China)

机构地区：[1]军械工程学院七系,石家庄050003 [2]陆军特种作战学院,广西桂林541000

出　　处：《振动与冲击》2019年第2期116-122,145,共8页Journal of Vibration and Shock

基　　金：国家自然科学基金(E51205405)

摘　　要：针对传统的滚动轴承振动信号分析方法在对信号降噪过程中容易产生的噪声信号与非噪声信号混杂的问题,提出一种基于量子Hadamard变换的信号分析方法。该方法通过将单个采样点信号量子化,深入分析每一个采样点内部信息,实现信号降噪的同时,完成对振动信号故障信息的突出表达,改善了振动信号的分析效果。实验结果表明,与传统的基于数学形态学的分析方法相比,基于量子Hadamard变换的分析方法能够有效提升滚动轴承信号的降噪效果,故障特征信号得到有效凸显。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.

关 键 词：信号分析 振动信号 量子Hadamard变换 

分 类 号：TH137[机械工程—机械制造及自动化]