标题:Structural Change Detection Using Cyclic Analysis and Time Synchronous Averaging for Condition Monitoring of Rotating Machines
作者:Wang, Xiaofeng ;Lu, Guoliang ;Yan, Peng
通讯作者:Lu, Guoliang
作者机构:[Wang, Xiaofeng ;Lu, Guoliang ;Yan, Peng ] Key Laboratory of High Efficiency and Clean Mechanical Manufacturing of MOE, National Demonstration Center 更多
会议名称:2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018
会议日期:August 15, 2018 - August 17, 2018
来源:Proceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018
出版年:2019
页码:45-49
DOI:10.1109/SDPC.2018.8665011
摘要:Structural change detection has received increasing attention recently in the field of monitoring and prognosis of complex rotating machines. When dealing with non-stationary condition monitoring, it is difficult to design an accurate and reliable model based on the collected quasi-periodic signals. In this paper, we propose a novel method based on cyclic analysis and time synchronous averaging. First, we perform cyclic analysis to divide the original signal into individual cycles, and then perform time synchronous average to obtain a structural average cycle. Finally, structural change detection is made based on hypothesis testing. We evaluated the proposed method on an experimental setup and the experimental results demonstrated the effectiveness of the method under non-stationary machine operating conditions.
© 2018 IEEE.
收录类别:EI
资源类型:会议论文
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