基于MODWPT的包络阶次谱在滚动轴承故障诊断中的应用  

Application of the envelope order spectrum based on the maximal overlap discrete wavelet packet transform to the roller bearing fault diagnosis

作　　者：杨宇[1] 杨丽湘[1] 程军圣[1] 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082

出　　处：《哈尔滨工程大学学报》2010年第10期1380-1385,共6页Journal of Harbin Engineering University

基　　金：国家863计划资助项目(2009AA04Z414);国家自然科学基金资助项目(50605019);中国博士后科学基金资助项目(20080430154);教育部长江学者与创新团队发展计划资助项目(531105050037);高等学校博士点专项科研基金资助项目(20060532009)

摘　　要：为了有效提取滚动轴承的故障特征,提出了基于MODWPT的包络阶次谱故障诊断方法.采用MODWPT将多分量的滚动轴承振动信号分解为若干个分量,对各个分量信号进行包络分析并对包络信号进行角域重采样;最后对重采样后的信号进行频谱分析,得到包络阶次谱,从而判断滚动轴承的工作状态和故障类型.采用该方法分别对仿真信号和实验信号进行了分析,结果表明了该方法的有效性.The envelope order spectrum based on the maximal overlap discrete wavelet packet transform（MODWPT） is proposed and applied to the roller bearing fault diagnosis in this paper.By using MODWPT,a multi-component signal can be decomposed into a number of single-component signals whose instantaneous frequencies own physical sense.Therefore,MODWPT is particularly suitable for the processing of multi-component amplitude-modulated and frequency-modulated（AM-FM） signals.When a fault occurs in a roller bearing,the vibration signal of the start-stop process always display the multi-componennt amplitud and frequency modulated characteristics.In the method of envelope order spectrum based on the maximal overlap discrete wavelet packet transform,firstly the multi-component signal is decomposed into some single-component signals by using the maximal overlap discrete wavelet packet transform;secondly the envelope analysis is applied to each single-component signal;thirdly each envelope signal is resampled in angle-domain;finally the spectrum analysis is used to each resampled signal and the envelope order spectrum can be obtained.Furthermore,the roller bearing working condition can be identified according to the envelope order spectrum.The analysis results from the simulation and experimental signals show the effectiveness of the proposed method.

关 键 词：最大重叠离散小波包变换 阶次 包络谱 滚动轴承 故障诊断 

分 类 号：TH165.3[机械工程—机械制造及自动化] TH115