文章編號(hào)：(1996)04-166-3
包絡(luò)-小波分析法用于滾動(dòng)軸承故障診斷的研究①
鐘掘 卓志紅 揚(yáng)平
(中南工業(yè)大學(xué)機(jī)電工程學(xué)院，長(zhǎng)沙410083)
摘 要: 根據(jù)現(xiàn)有的小波理論和滾動(dòng)軸承的振動(dòng)特征，提出了傅里葉分析與小波分析相結(jié)合的包絡(luò)- 小波分析法，研究了其基本原理和在滾動(dòng)軸承故障診斷中的實(shí)際應(yīng)用，并給出了診斷實(shí)例。
關(guān)鍵字: 小波變換 故障診斷 模式識(shí)別
STUDY ON ENVELOPE-WAVELET ANALYSIS AND
ITS APPLICATION TO ROLLING BEARING DIAGNOSIS
ITS APPLICATION TO ROLLING BEARING DIAGNOSIS
Zhong Jue, Zhuo Zhihong, Yang Ping
（College of Mechanical and Electrical Engineering,
Central South University of Technology, Changsha 410083）
Abstract:According to wavelet theory and the vibration characteristics of rolling bearing, the envelope-wavele analysis of combining Fourier analysis with wavelet analysis was put forward. Its basic principle and practical application to rolling bearing diagnosis have been studied, and a diagnostic example was given.
Key words: wavelet transform fault diagnosis pattern recognition
