基于时频分析的机械设备非平稳信号盲分离  

BLIND SEPARATION OF NON-STATIONARY SIGNALS IN THE MECHANICAL EQUIPMENT BASED ON TIME-FREQUENCY ANALYSIS

作　　者：李志农[1] 吕亚平[1] 韩捷[1] 

机构地区：[1]郑州大学振动工程研究所,郑州450002

出　　处：《机械强度》2008年第3期354-358,共5页Journal of Mechanical Strength

基　　金：国家自然科学基金(50775208);河南省教育厅自然科学基金(2006460005);河南省杰出人才创新基金(0621000500)资助项目~~

摘　　要：针对传统的机械故障源分离方法忽略信号非平稳性的不足,结合时频分析和盲源分离的各自优点,提出一种基于时频分析的机械设备非平稳信号的盲分离方法,并与传统的机械故障源分离方法进行对比。实验结果表明,对于机械设备非平稳混迭信号,必须充分利用信号的非平稳性,才能达到很好的分离效果。文中的研究为机械设备非平稳混迭信号的分离提供一种新方法。The traditional blind source separation of machine faults is usually neglected the nonstationarity of fault signals. Based on this deficiency, here, combined the advantage of time-frequency analysis （TFA） and blind source separation （BSS）, a blind separation method of non-stationary signals in the mechanical equipment based on time-frequency distributions, which is named the TFA-BSS method, is proposed. The proposed method is compared with the traditional separation method of machine fault sources. The experiment results show that non-stationarity is fully considered in the separation of the machine faults. This research provides a new method for the blind separation of non-stationary mixture signals in the mechanical equipment.

关 键 词：盲源分离 时频分析 故障诊断 非平稳信号 

分 类 号：TH165.3[机械工程—机械制造及自动化] TP206.3[自动化与计算机技术—检测技术与自动化装置]