中国机械工程2011，Vol.22Issue(20)：2446-2451,6.
基于双树复小波变换的轴承故障诊断研究
Research on Bearing Fault Diagnosis Based on Dual--tree Complex Wavelet Transform
摘要
Abstract
A novel method of bearing fault diagnosis based on demodulation technique of DTCWT. It is demonstrated that the proposed dual-tree complex wavelet transform has better shift invariance, reduced frequency aliasing effect and de-noising ability. The bearing fault vibration signals were firstly decomposed and recostructed using dual-tree complex wavelet transform. Then the real and i maginary parts were obtained and the vibration signals were amplitude demodulated. In the end, the amplitude envelope and wavelet envelope spectrum were computed. Therefore, the characteristics of the bearing faults can be recognized according to the wavelet envelope spectrum. The experimental resuits show that fault diagnosis based on dual-tree complex wavelet transform can diagnose bearing faults effectively under strong noise conditions and reduce spectral aliasing.关键词
故障诊断/双树复小波变换/轴承/幅值解调/信号处理Key words
fault diagnosis/dual -- tree complex wavelet transform （DTCWT）/bearing/amplitudedemodulation/signal processing分类
机械制造引用本文复制引用
艾树峰..基于双树复小波变换的轴承故障诊断研究[J].中国机械工程,2011,22(20):2446-2451,6.基金项目
浙江省自然科学基金资助项目（Y1080040) （）
