Authors: Lixin Lin, Xinhua Jiang, Zhiwu Huang, Huosheng Hu
Addresses: School of Information Science and Engineering, Central South University, Changsha, 410075, China. ' School of Information Science and Engineering, Central South University, Changsha, 410075, China. ' School of Information Science and Engineering, Central South University, Changsha, 410075, China. ' School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK
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.
Keywords: online fault diagnosis; fault trees; data structure; China; electric locomotives; electric trains; intelligent fault diagnosis; microcontrollers; logic control; mechatronics; axle temperature monitoring; train operation monitoring; safety monitoring; fuzzy recognition.
International Journal of Modelling, Identification and Control, 2010 Vol.10 No.3/4, pp.292 - 300
Published online: 10 Aug 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article