噪声与振动控制2016，Vol.36Issue(5)：133-138,6.DOI:10.3969/j.issn.1006-1335.2016.05.028
双树复小波和双谱在轴承故障诊断中的应用
Applications of Dual-tree Complex Wavelet Transform and Bi-spectrum in Roller Bearing Fault Diagnosis
摘要
Abstract
It is difficult to extract fault characteristic signals from the nonlinear, non-stationary and strong noise included fault vibration signals of roller bearings for fault identification. In this paper, a new fault diagnosis method is proposed based on dual-tree complex wavelet transform (DT-CWT) and bi-spectrum. Firstly, the fault vibration signal is decomposed into several components with different frequency-band through DT-CWT, and the components which contain the fault feature information are selected. Then, the Hilbert envelope demodulation is used to the components. Finally, the bi-spectrum diagram of the envelop signals is acquired and the fault signal frequency feature can be effectively extracted to identify the fault accurately. The results of the roller bearing fault tests and engineering application show that the fault feature frequency of the fault roller bearing in operation can be extracted accurately by this method and the noise can be almost completely suppressed. Thus, the feasibility and effectiveness of this method are verified.关键词
振动与波/双树复小波/双谱/希尔伯特包络/滚动轴承/故障诊断Key words
vibration and wave/dual-tree complex wavelet transform/bi-spectrum/Hilbert envelope/rolling bearing/fault diagnosis分类
机械制造引用本文复制引用
侯少飞,李彦生,胥永刚,马朝永..双树复小波和双谱在轴承故障诊断中的应用[J].噪声与振动控制,2016,36(5):133-138,6.基金项目
国家自然科学基金资助项目(51375020)；北京市教委科研计划资助项目 （51375020）
