Diagnosis of rolling element bearing fault arising in gearbox based on sparse morphological component analysis

作者：Luo, Guofu^*; Wang, Hongchao; Gong, Xiaoyun; Du, Wenliao

来源：Journal of Vibroengineering, 2017, 19(1): 189-203.

DOI：10.21595/jve.2016.17265

• fault diagnosis
• rolling element bearing
• gearbox
• morphological component analysis
• sparseness representation

It is hard to diagnose the rolling element bearing fault occurring in gearbox due to the complexity and the probable mutual coupling among the kinds of signals. A novel diagnosis method of rolling element bearing fault arising in gearbox based on morphological component analysis (MCA) originating from sparse representation theory is proposed in the paper. By selecting proper dictionaries, different morphological components can be separated successfully from the complex rolling fault signal arising in gearbox, which helps to improve the efficiency and accuracy of diagnosis result. The effectiveness of the proposed method is verified through simulations firstly. Then the proposed method is used in fault feature extracting of complex vibration signals collected from rotating machinery, and the effectiveness of the proposed method is further verified. Besides, the advantage of the proposed method over other relative method is presented.

• 出版日期2017-2
• 单位郑州轻工业大学