计算机工程与应用2018，Vol.54Issue(3)：217-221,5.DOI:10.3778/j.issn.1002-8331.1608-0253
基于广义形态滤波和MRSVD的故障诊断方法研究
Research on fault diagnosis method based on generalized morphological filter and MRSVD
摘要
Abstract
In order to obtain the fault information of rolling bearing under complicated working conditions, a method based on generalized morphological filter and Multi-Resolution Singular Value Decomposition(MRSVD)for fault diagnosis is proposed in this paper. Firstly, the bearing vibration signals are de-noised by using generalized morphological filter. Then the filtered signals are decomposed into a series of component signals by MRSVD. Finally, the detail signals which contained the most valuable fault features are selected by kurtosis criterion. The Hilbert envelope spectrum analysis is applied to the details signals afterwards to obtain the fault information. The experimental results have shown that the proposed method is capable of extracting useful fault features from complex vibration signals, and has offered an approving performance on fault diagnosis of the rolling bearing.关键词
广义形态滤波/多分辨奇异值分解(MRSVD)/Hilbert包络谱分析/故障诊断Key words
generalized morphological filter/Multi-Resolution Singular Value Decomposition(MRSVD)/Hilbert enve-lope spectrum analysis/fault diagnosis分类
信息技术与安全科学引用本文复制引用
黄刚劲,范玉刚,冯早,刘英杰..基于广义形态滤波和MRSVD的故障诊断方法研究[J].计算机工程与应用,2018,54(3):217-221,5.基金项目
国家自然科学基金(No.61563024,No.51169007) （No.61563024,No.51169007）
云南省中青年学术和技术带头人后备人才培养计划(No.2011CI017). （No.2011CI017）
