基于小波包分解的方差非线性均衡下的轴承故障特征提取  被引量:3

Feature Extraction of Bearing Faults Under Nonlinear Equalization of Variance Based on Wavelet Packet Decomposition

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作  者:郑志清 全海燕[1] 钱俊兵[2] Zheng Zhiqing;Quan Haiyan;Qian Junbing(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,Yunnan,China;Faculty of Civil Aviation and Aeronautics,Kunming University of Science and Technology,Kunming 650500,Yunnan,China)

机构地区:[1]昆明理工大学信息工程与自动化学院,云南昆明650500 [2]昆明理工大学民航与航空学院,云南昆明650500

出  处:《激光与光电子学进展》2022年第21期116-123,共8页Laser & Optoelectronics Progress

基  金:国家自然科学基金(51965030,41364002,61861023);浅水水域水下探测机器人开发项目(6493-20150016)。

摘  要:当轴承发生不同故障时,振动信号在不同频段的方差分布并不均衡。为了有效提取不同故障信号的特征,针对轴承故障信号小波包分解得到的频段分量,提出一种非线性均衡的方差均衡化方法,实现故障特征的更高区分度。实验中,基于凯斯西储大学轴承数据中心实测的轴承振动数据,用该方法对4种转速之下的正常轴承信号、内圈故障轴承信号、外圈故障轴承信号和滚动体故障轴承信号提取的方差参数进行了分析,结果表明均衡后的不同故障信号的方差参数具有更好的区分度,能有效地实现轴承故障类型的区分。When the bearing has various faults,the vibration signal’s variance distribution in various frequency bands is not balanced.In order to extract the features of various fault signals efficiently and for the frequency components generated from the bearing fault signal’s wavelet packet decomposition,this study proposed a variance equalization method of nonlinear equalization.The higher discrimination degree of fault characteristics can In order to extract the features of various fault signals efficiently and for the frequency components generated from the bearing fault signal’s wavelet packet decomposition,this study proposes a variance equalization method of nonlinear equalization.The higher discrimination degree of fault characteristics can be achieved.Based on the data from Case Western Reserve University’s bearing data center’s collected bearing vibration in the experiment,the variance parameters extracted from a normal,inner ring fault,outer ring fault,and rolling element fault bearing signal under four speeds are investigated using this approach.The results reveal that the variance parameters of various fault signals after equalization have better discrimination.It can efficiently differentiate the types of bearing faults.

关 键 词:傅里叶光学和信号处理 轴承 小波包 方差 非线性均衡 均衡化方差 

分 类 号:TH133.3[机械工程—机械制造及自动化]

 

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