工程科学学报2017，Vol.39Issue(6)：909-916,8.DOI:10.13374/j.issn2095-9389.2017.06.014
形态分量分析在滚动轴承故障诊断中的应用
Application of morphological component analysis for rolling element bearing fault diagnosis
刘永兵 1周亚凯 1冯志鹏1
作者信息
- 1. 北京科技大学机械工程学院,北京100083
- 折叠
摘要
Abstract
Periodical impulses in vibration signals are key features in rolling element bearing fault diagnosis. Based on an over-complete dictionary composed of different morphological atoms, morphological component analysis can be used to extract the signal components of different types of morphologies. A new morphological component analysis method based on a novel over-completed dic-tionary was proposed herein. According to morphological differences between components in rolling element bearing fault vibration sig-nal, the method after improved dictionary could more targeted to extract impulse components containing fault feature. Then through en-velope spectrum analysis, the fault characteristic frequency was extracted accurately, and rolling element bearing local faults were di-agnosed. Compared with the Fast Kurtogram method for bearing fault diagnosis, the new method could avoid non-accuracy and non-op-timality problems caused by artificial choice of resonance band, and improve the effectiveness of fault diagnosis. By analyzing both the simulation signal and the experimental dataset of rolling element bearing faults, the proposed method is validated.关键词
滚动轴承/故障诊断/形态分量分析/冲击Key words
rolling element bearing/fault diagnosis/morphological component analysis/impulse分类
信息技术与安全科学引用本文复制引用
刘永兵,周亚凯,冯志鹏..形态分量分析在滚动轴承故障诊断中的应用[J].工程科学学报,2017,39(6):909-916,8.
