Adaptive parameter blind source separation technique for wheel condition monitoring

详细信息    查看全文

• 作者：Jie Zhang^a ; ^{lsy55zj@home.swjtu.edu.cn} ; Hongli Gao^a ; Qiyue Liu^a ; F. Farzadpour^b ; C. Grebe^b ; Ying Tian^a
• 关键词：Condition monitoring ; Blind source separation ; Wheel defect ; Non-stationary signal ; Adaptive time-frequency distributions
• 刊名：Mechanical Systems and Signal Processing
• 出版年：2017
• 出版时间：June 2017
• 年：2017
• 卷：90
• 期：Complete
• 页码：208-221
• 全文大小：4607 K
• 卷排序：90

文摘

An adaptive parameter BSS for non-stationary signal processing is proposed. Simulations of frequency-varying and time-varying non-stationary illustrate its accuracy. Condition monitoring for railway wheels illustrate its effectiveness under varying fault complexity.