A novel fault diagnosis method for rotating machinery based on S transform and morphological pattern spectrum

作者：Gao, Jingwei^*; Wang, Ruichen; Zhang, Rui; Li, Yuan

来源：Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016, 38(6): 1575-1584.

DOI：10.1007/s40430-015-0474-6

• Rotating machinery
• Bearing
• Fault diagnosis
• S transform
• Morphological pattern spectrum

With the continuing expansion of the applications of rotating machinery, an earlier and more accurate fault diagnosis method is required. In this paper, a novel characterization method based on S transform and morphological pattern spectrum (ST-MPS) was put forward. In order to verify the application of the method, ST-MPS was applied to a set of experimental signals obtained in a bearing test bench, and the results verified that the proposed feature extraction method is an effective approach to accurately classify the types of bearing fault.

• 出版日期2016-8
• 单位中国人民解放军国防科学技术大学