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.
|Number of pages||10|
|Journal||Journal of the Brazilian Society of Mechanical Sciences and Engineering|
|Early online date||26 Dec 2015|
|Publication status||Published - Aug 2016|
Gao, J., Wang, R., Zhang, R., & Li, Y. (2016). A novel fault diagnosis method for rotating machinery based on S transform and morphological pattern spectrum. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 38(6), 1575-1584. https://doi.org/10.1007/s40430-015-0474-6