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

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

Preview

PDF - Accepted Version Download (6MB) | Preview

Abstract

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.

Item Type:	Article
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:	30 Dec 2016 17:46
URI:	http://eprints.hud.ac.uk/id/eprint/28129

Downloads

Repository Staff Only: item control page

View Item