REVIEW ARTICLE
Research on Urban Rail Train Passenger Door System Fault Diagnosis Using PCA and Rough Set
Lin Shuai1, Jia Limin*, 1, Qin Yong1, Yu Bo2, Wang Yanhui1
Article Information
Identifiers and Pagination:
Year: 2014Volume: 8
First Page: 340
Last Page: 348
Publisher Id: TOMEJ-8-340
DOI: 10.2174/1874155X01408010340
Article History:
Received Date: 25/07/2014Revision Received Date: 04/08/2014
Acceptance Date: 04/08/2014
Electronic publication date: 16/9/2014
Collection year: 2014
© 2014 Shuai 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.
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.
Abstract
Train passenger door is the key system for operation and maintenance of urban rail train. In this paper, working process of the passenger door system of urban rail train is analyzed and the mathematical model is established. Firstly, the method of parameter estimation is used to obtain physical parameters of doors in different working conditions. Then fault diagnosis experiment is carried out on train passenger door with principal component analysis and rough set theory. In the end, fault diagnosed accuracies under different time settings of opening and closing profiles with the test rig are verified.
Keywords: Door control system, Fault diagnosis, Principal component analysis (PCA), Rough set.
