Gear Fault Diagnosis Based on EMD and AR Spectrum Analysis
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.
Vibration fault diagnosis gear empirical mode decomposition AR Spectrum
Shufeng Ai Hui Li Lihui Fu
Department of Communications Technology Zhejiang University of Media and Communications Hangzhou,Chi Department of Electromechanical Engineering Shijiazhuang Institute of Railway Technology Shijiazhuan
国际会议
长沙
英文
673-676
2009-04-11(万方平台首次上网日期,不代表论文的发表时间)