GEARBOX FAULT DIAGNOSIS BASED ON WAVELET-AR MODEL

摘要：

A fault diagnosis technique for gearbox that uses a Wavelet-AR model spectrum estimation method is presented in this paper.In the experimental work, the wavelet transform was used for original signal decomposition and de-noising to obtain fault signals, and the fault type was confirmed using AR model spectrum estimation method for gearbox fault signal diagnosis.The experimental results indicated that the proposed wavelet-AR model spectrum estimation method, compared with FFT algorithm, is effective in fault signal diagnosis for gearbox.

关键词： Wavelet-AR model Gearbox Fault diagnosis FFT algorithm

作者: GUI-HONG ZHOU CHUN-CHENG ZUO JIA-ZHONG WANG SHU-XIA LIU

作者单位: College of Mechanical Science and Engineering, Jilin University, Changchun 130025 China;College of I College of Mechanical Science and Engineering, Jilin University, Changchun 130025 China College of Information Science and Technology, Agricultural University of Hebei,071000 China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1061-1065

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）