Faulty Diagnosis of Rolling Bearing Based on Wavelet Analysis and Chaos
Contrary to non-stationary vibration signal of rolling Bearing fault, an analysis method of the combination of wavelet analysis and chaos is proposed. In this method, wavelet analysis is first adopted to conduct denoising preprocessing to the signals analyzed, the fault information components of the bearing are detected out effectively, and then by calculating chaotic characteristics such as the correlation dimension of rolling bearing vibration time series, motion state features of equipment are extracted and detailed analysis is carried out. The results show that: this method can realize fault diagnosis of rolling bearing, thus provide a new approach to fault diagnosis of rotating machinery.
wavelet analysis chaos theory rolling bearing fault diagnosis correlation dimension
Xiang Wang Cai Liu Mei Li
Mechanical Design and Theory Yanshan University Qinhuangdao, China Institute of Information Science Mechanical Design and Theory Yanshan University Qinhuangdao, China Institute of Information Science & Engineering HeBei University of Science and Technology Shijiazhua
国际会议
太原
英文
114-118
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）