作者：王建国, 祁映强, 杨斌

作者单位：内蒙古科技大学机械工程学院, 内蒙古 包头 014010

关键词：局部均值分解;噪声统计特性;滚动轴承;故障诊断

摘要：

工程实际中测得的滚动轴承信号往往含有大量的噪声,这使得轴承故障特征淹没在噪声中难以被提取。针对这一问题,提出一种基于随机噪声统计特性与局部均值分解(local mean decomposition,LMD)理论相结合的滚动轴承故障诊断方法。首先,利用LMD将原信号分解,得到若干乘积函数(production function,PF)分量;其次,将第一阶PF分量随机排序,与剩余PF分量相加;然后,对第2步进行P次循环,求平均;最后,把第3步得到的信号作为原信号,重复第1、2步Q次,对得到的信号进行频谱分析,提取故障特征。通过对仿真信号和实验台轴承实验信号进行分析研究表明,该方法可准确诊断滚动轴承元件故障,具有有效性。

Fault diagnosis of rolling bearing based on LMD statistical characteristics of noise

WANG Jianguo, QI Yingqiang, YANG Bin

School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China

Abstract: In engineering practice, the signal of rolling bearings often contains a lot of noise, which makes the bearing fault characteristics would be flooded in noise and difficult to be extracted. In order to solve this problem, this paper proposed a new fault diagnosis method of rolling bearing, which based on the statistical properties of the random noise and the theory of local mean decomposition(LMD). Firstly, LMD method is used to decompose the signal with noise into some PF components; Secondly, after random sorting the first order PF component, add it with the residual components; Thirdly, to loop P times on the second step and then mean it; Finally, take the obtained signal of the third step as the original signal, repeat Q times of the first and second step respectively, apply the frequency spectrum analysis to the resulting signals and extract the fault feature. The proposed method is applied to simulated signal and rolling bearing fault diagnosis. The results show that the fault diagnosis method of rolling bearing based on LMD of statistical characteristics of noise accurately diagnose the fault of rolling bearing, and have proved the effectiveness of the method.

Keywords: local mean decomposition;statistical characteristics of noise;rolling bearing;fault diagnosis

2016, 42(6): 90-94  收稿日期: 2015-09-02;收到修改稿日期: 2015-11-17

基金项目: 国家自然科学基金项目(21366017);内蒙古科技厅应用与研究开发计划项目——高新技术领域科技计划重大项目(20130302)

作者简介: 王建国(1958-),男,内蒙古呼和浩特市人,教授,博士,主要从事设备状态监测与故障诊断方面的研究。

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