基于盲信号处理的机械噪声监测与故障诊断  

Machine noise monitoring and fault diagnosis based on blind signal processing

作　　者：王宇[1] 迟毅林[1] 伍星[1] 沈沂[1] 

机构地区：[1]昆明理工大学机电工程学院,昆明650093

出　　处：《振动与冲击》2009年第6期32-41,共10页Journal of Vibration and Shock

基　　金：国家自然科学基金资助项目(编号:50805071)

摘　　要：在介绍盲信号处理统一模型的基础上,全面归纳了其典型算法,综述了它在机械噪声监测与故障诊断中的研究现状,重点讨论了混合模型、噪声盲源分离与盲解卷积、盲源分离与多种技术的结合、噪声监测与诊断系统研究等方面的应用,并指出需要进一步研究的主要问题。On the basis of introducing the unified model of blind signal processing (BSP), the typical BSP algorithms were comprehensively concluded, and the present research status of BSP in machine noise monitoring and fault diagnosis was summarized. Those were emphatically discussed, such as mixed models, blind source separation and blind deconvolution of mechanical noise, blind source separation combined with other technologies and machine noise monitoring and diagnosis system based on BSP. Finally, the further main research problems were pointed out.

关 键 词：盲信号处理 机械噪声监测 故障诊断 

分 类 号：TH165.3[机械工程—机械制造及自动化]