重庆大学学报2013，Vol.36Issue(3)：13-19,7.
高密度小波变换在滚动轴承复合故障诊断中的应用
Application of higher density wavelet transform to composite fault diagnosis of rolling bearing
摘要
Abstract
Aiming at the difficulties in accurate reorganization of several weak faults currently, a composite fault diagnosis method based on higher density discrete wavelet transform and envelope spectrum is proposed. Firstly, the higher density discrete wavelet transform is used to decompose acquired vibration signals of rolling bearings. Then, the single-subband reconstruction is performed on the wavelet coefficients and scaling coefficients at each scale in order to solve frequency aliasing. Finally, the envelope spectra of all subband signals are calculated, and all faults can be recognized according to the characteristic frequencies of the typical faults. The proposed method is applied to the diagnosis of the rolling bearings with composite faults, and is compared with other common fault diagnosis method. The results show that the proposed method can be effectively used for the early composite fault diagnosis of rolling bearings.关键词
小波变换/滚动轴承/故障诊断/单子带重构/包络谱Key words
wavelet transforms/ rolling bearing/ fault diagnosis/ single-subband reconstruction/ envelope spectrum分类
信息技术与安全科学引用本文复制引用
秦毅,王腾,何启源,任兵..高密度小波变换在滚动轴承复合故障诊断中的应用[J].重庆大学学报,2013,36(3):13-19,7.基金项目
国家自然科学基金资助项目(50905191,51005262) （50905191,51005262）
重庆市科委自然科学基金计划资助项目(2010BB4227) （2010BB4227）
