A New Method for Adaptive Blind Source Separation Based on the Estimated Number of Dynamic Fault Sources

摘要：

　　In fault diagnosis of large rotating machinery,the number of fault sources may be subject to dynamic changes,which often lead to the failure in accurate estimation of the number of sources and the effective isolation of the fault source.This paper introduced the expansion of the fourth-order cumulant matrices in estimating the dynamic fault source number,plus the relationship between the source signal number and the number of sensors being utilized in the selection of the blind source separation algorithm to achieve adaptive blind source separation.Experiments showed that the source number estimation algorithm could be quite effective in estimating the dynamicnumber of fault sources,even in the underdetermined condition.This adaptive blind source separation algorithm could then effectively achieve fault diagnosis in respect to the positive-determined,overdetermined and underdetermined blind source separation.

关键词： Source number estimation Blind source separation Fault diagnosis Rotating machinery

作者: Xiaoyan Yang Xiong Zhou Yike Tang

作者单位: Chongqing University of Science and Technolygle,Chongqing,China

会议类型: 国际会议

会议名称: the 16th International Conference on Fluid Dynamic and Mechanical & Electrical Control Engineering (第16届流体动力与机电控制工程国际学术会议 (FDMECE2012))

会议地点: 重庆

会议语种:英文

页码: 211-217

在线出版日期: 2012-11-10（万方平台首次上网日期，不代表论文的发表时间）