Bearing Fault Diagnosis Using Wavelet Analysis

摘要：

　　One-dimensional discrete wavelet transform is used to process the bearing fault signal in this paper.Firstly,the bearing fault data is decomposed to multi-layer.Then the fault feature signal is reconstructed.In order to detect the bearing failure and determine the area of it,the reconstructed signal is processed by the Hilbert transform demodulation and spectrum refining.The results show that the frequency of failure point matches well with theoretical one using this method.This method is simple and reliable and thus provides a scientific method for early warning and exclusion of failure.

关键词： wavelet analysis fault diagnosis bearing

作者: Kang Chen Xiaobing Li Feng Wang Tanglin Wang Cheng Wu

作者单位: School of Mechatronics of Engineering University of Electronic Science and Technology of China Chengdu, China

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 698-701

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）