The method of Scale - energy fuzzy clustering based on series wavelet analysis in Studying fault diagnosis of Gearbox

摘要：

Vibration signals is the information carrier of gearbox working, iB order to monitor and diagnose the gearbox running states. This paper proposes a method of scale energy fuzzy clustering based on series wavelet analysis processing gearbox vibration (non-stationary) signals that we draw the energy of the signal under various running states with different measurement as eigenvector. Because vibration signals of gear and roller bearings in the gearbox are not only related to frequency but also to time. Series wavelet analysis is a time-frequency (time-scale) analysis method. It can express both time and frequency in the same time. The eigenvector of scale-energy shows similarity with same state and dissimilarity witb different states. So we use the fuzzy clustering methods to detect and diagnose different conditions of gearbox. The diagnosis result is satisfactory. It shows that series wavelet analysis can supply a convincing analysis means for gearbox fault diagnosis.

关键词： gearbox fault diagnosis scale-energy fuzzy clustering serious wavelet analysis

作者: Cui Baozhen Pan Hongxia

作者单位: The School of Mechanical Engineering and Automation,North University of China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 944-948

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）