文献类型：会议论文

英文题名：Source Separation method of Machine Faults Based on Post-Nonlinear Blind Source Separation

作者：Li, Zhinong[1];Zeng, Yudong[1];Fan, Tao[1];Lv, Yaping[1];Ren, Jinge[2]

第一作者：Li, Zhinong

通讯作者：Li, ZN[1]

机构：[1]Zhengzhou Univ, Sch Mech Engn, Zhengzhou, Henan Province, Peoples R China;[2]Beijing Union Univ, Teachers Coll, Beijing, Peoples R China

第一机构：Zhengzhou Univ, Sch Mech Engn, Zhengzhou, Henan Province, Peoples R China

通讯机构：[1]corresponding author), Zhengzhou Univ, Sch Mech Engn, Zhengzhou, Henan Province, Peoples R China.

会议论文集：7th World Congress on Intelligent Control and Automation

会议日期：JUN 25-27, 2008

会议地点：Chongqing, PEOPLES R CHINA

语种：英文

外文关键词：blind source separation (BSS); post-nonlinear; fault diagnosis; independent component analysis (ICA)

摘要：The existing separation of machine fault sources is only restricted to the linear mixing source signals. However, the observed signals do not suffice to this condition in the practical application. In view of this deficiency, a new mechanical source separation method based on nonlinear blind source separation (BSS) is proposed. The proposed method is compared with the linear BSS method of machine faults. The experiment result shows that the proposed method is very effective for nonlinear mixing mechanical sources. The linear BSS method of machine faults is only a special case of the proposed method. When source separation method based linear BSS cannot give a satisfactory separation performance, the nonlinear BSS method should be considered.