Gear Fault Diagnosis Based on EMD and AR Spectrum Analysis

摘要：

A novel method to fault diagnosis of gear crack based on empirical mode decomposition (EMD) and autoregressive (AR) spectrum is presented. This method can carry out empirical mode decomposition and extract feature information of different machine parts in condition monitoring and fault diagnosis of machinery. The main objective of empirical mode decomposition is to separate the time series data into components with different time scale. Then the AR model estimation is applied to each intrinsic mode function and the AR spectrum is obtained. As an example, the vibration signal of a gearbox is analyzed. The experimental results show that this method based on empirical mode decomposition and autoregressive spectrum can effectively diagnose the crack faults of gear.

关键词： Vibration fault diagnosis gear empirical mode decomposition AR Spectrum

作者: Shufeng Ai Hui Li Lihui Fu

作者单位: Department of Communications Technology Zhejiang University of Media and Communications Hangzhou,Chi Department of Electromechanical Engineering Shijiazhuang Institute of Railway Technology Shijiazhuan

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 673-676

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）