Lin, Lixin and Jiang, Xinhua and Huang, Zhiwu and Hu, osheng (2010) Application of advanced fault diagnosis technology in electric locomotives. International Journal of Modelling, Identification and Control, 10 (3/4). p. 292. DOI https://doi.org/10.1504/ijmic.2010.034581
Lin, Lixin and Jiang, Xinhua and Huang, Zhiwu and Hu, osheng (2010) Application of advanced fault diagnosis technology in electric locomotives. International Journal of Modelling, Identification and Control, 10 (3/4). p. 292. DOI https://doi.org/10.1504/ijmic.2010.034581
Lin, Lixin and Jiang, Xinhua and Huang, Zhiwu and Hu, osheng (2010) Application of advanced fault diagnosis technology in electric locomotives. International Journal of Modelling, Identification and Control, 10 (3/4). p. 292. DOI https://doi.org/10.1504/ijmic.2010.034581
Abstract
As the continuous development of intelligent mechatronic systems and robots, the fault diagnosis technology is making full advances in many practical applications. In this paper, an advanced fault diagnosis system, which consists of logical control units, microcontrollers, colour display screens and an industry PC, is developed for SS7E locomotives in China. Based on thoroughly analysing the structures and control principles, a full set of digital checkpoints and fault points of SS7E are presented. The method to obtain diagnosis rules from the fault tree is described and the high-efficiency reasoning mechanism is deduced. The intelligent fault diagnosis knowledge base of SS7E is constructed and the data structure is explained. Finally, an online instance of the SS7E locomotive fault diagnosis system interface is shown.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 26 Mar 2014 10:56 |
Last Modified: | 23 Oct 2024 06:20 |
URI: | http://repository.essex.ac.uk/id/eprint/9077 |