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基于小波包熵和ISODATA的滚动轴承故障诊断
引用本文:张景异,朱美臣,杨青. 基于小波包熵和ISODATA的滚动轴承故障诊断[J]. 工业仪表与自动化装置, 2012, 0(2): 3-7
作者姓名:张景异  朱美臣  杨青
作者单位:沈阳理工大学信息科学与工程学院,沈阳,110159
基金项目:辽宁省科学技术基金项目(2010222005); 沈阳市科学技术计划项目(F10-081-2-00)
摘    要:针对滚动轴承不同振动信号各个频带的能量不同的特点,提出一种基于小波包熵(WPE)和ISODATA的集合型故障诊断方法(WPE-ISODATA)。文中对滚动轴承振动信号进行采样;利用小波包提取滚动轴承振动信号的能量特征并归一化运算,将归一化的能量特征作为振动信号的概率分布进行信息熵运算,提取滚动轴承振动信号特征;以信息熵作为ISODATA聚类算法的输入进行故障辨识。滚动轴承实验结果表明:基于小波包熵和ISODATA的集合型故障诊断方法鲁棒性好,可靠性高。

关 键 词:故障诊断  滚动轴承  小波包熵  WPE-ISODATA

Fault diagnosis of rolling bearing based on wavelet packet entropy and ISODATA
ZHANG Jingyi , ZHU Meichen , YANG Qing. Fault diagnosis of rolling bearing based on wavelet packet entropy and ISODATA[J]. Industrial Instrumentation & Automation, 2012, 0(2): 3-7
Authors:ZHANG Jingyi    ZHU Meichen    YANG Qing
Affiliation:(School of Information Science and Engineering,Shenyang Ligong University,Shenyang 110159,China)
Abstract:An ensemble approach,called WPE-ISODATA,based on wavelet packet entropy(WPE) and ISODATA is presented according to every frequency band energy of different vibration signal being different in rolling bearing.The vibration signal of rolling bearing is sampled in the paper.Wavelet packet is used to extracte the energy characteristics of the vibration signal,and the extracted signal is normalized.The normalization energy characteristics is used as the probability distribution to do the information entropy calculations,to extract the vibration signal characteristics of rolling bearing.The information entropy is as the input of ISODATA clustering algorithm to fault detection.The actual bearing data were provided in the experiment,and the results showed that the ensemble approach based on wavelet packet entropy and ISODATA has good robustness and high reliability.
Keywords:fault diagnosis  rolling bearing  wavelet packet entropy  WPE-ISODATA
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