Gao, Jingwei, Wang, Ruichen, Zhang, Rui and Li, Yuan (2015) 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. ISSN 1678-5878
- Accepted Version
Restricted to Repository staff only until 26 December 2016.
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.
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
|Schools:||School of Computing and Engineering
School of Computing and Engineering > Diagnostic Engineering Research Centre
|Depositing User:||Ruichen Wang|
|Date Deposited:||19 May 2016 13:26|
|Last Modified:||10 Jun 2016 05:05|
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