About this Journal Submit a Manuscript Table of Contents
Computational Intelligence and Neuroscience
Volume 2014 (2014), Article ID 195752, 6 pages
Research Article

Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method

1School of Mechanical Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China
2State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
3School of Electromechanical and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

Received 29 September 2014; Accepted 26 November 2014; Published 10 December 2014

Academic Editor: Yongjun Shen

Copyright © 2014 Yanping Du et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A bogie system is the key equipment of railway vehicles. Rigorous practical evaluation of bogies is still a challenge. Presently, there is overreliance on part-specific experiments in practice. In the present work, a risk evaluation index system of a bogie system has been established based on the inspection data and experts’ evaluation. Then, considering quantitative and qualitative aspects, the risk state of a bogie system has been evaluated using an extension theory and an entropy weight method. Finally, the method has been used to assess the bogie system of four different samples. Results show that this method can assess the risk state of a bogie system exactly.