REVIEW ARTICLE


Fault Diagnosis of Gear Based on the Variable Fuzzy Similarity Nearness



Di Wu*, 1, Jin Yao2, Hua Li2
1 School of Energy and Power Engineering, Xihua University, Chengdu, 610065, China
2 School of Manufacturing Science and Engineering, Sichuan University, Chengdu, 610065, China

Article Information


Identifiers and Pagination:

Year: 2015
Volume: 9
First Page: 846
Last Page: 850
Publisher Id: TOMEJ-9-846
DOI: 10.2174/1874155X01509010846

Article History:

Received Date: 17/02/2014
Revision Received Date: 21/03/2015
Acceptance Date: 09/06/2015
Electronic publication date: 7/10/2015
Collection year: 2015

© 2015 Wu et al

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the School of Energy and Power Engineering, School of Mechanical Engineering, Xihua University, Chengdu, 610065, China; Tel: +86 28 87387056; Fax: +86 28 87387056; E-mail: wudixc@gmail.com


Abstract

In order to improve the validity and accuracy of fault diagnosis on mechanical equipment, this study applies fuzzy nearness approach by adjusting the traditional formulations. Besides, it points out the disadvantages in fault diagnosis of traditional nearness approach based on experimental data of gear transmission. A fuzzy nearness functionbased model is constructed to execute the fault diagnosis with the assistance of fuzzy nearness principles and fuzzy mathematical membership degree. Following that, a experimental data-based numerical example is implemented, which demonstrates that the adjusted fuzzy nearness approach performs better than the traditional one in diagnosing gear fault effectively and meeting the practical requirements of gear transmission fault diagnosis.

Keywords: Fuzzy mathematics , gear fault diagnosis, nearness degree.