Title :
Research on risk analysis of suspension system in maglev train based on fuzzy multiple attribute decision-making
Author :
Baiming Tong ; Fengshan Dou ; Yilu Feng ; Zhiqiang Long
Author_Institution :
Dept. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
As a new-type rail transportation tool, the medium and low speed maglev train will assume the arduous task of the urban rail transportation. Whether it can run safely and reliably relates directly to the life and property safety, and meanwhile relates to the sustainable development of the maglev transportation industry. This paper provides the general method fit for the risk analysis of the full life cycle of the maglev train system, and puts forward the method of assessing the risk level in FMEA by utilizing the risk analysis method on basis of the fuzzy multiple attribute decision making theory. The method eliminates the influence of the subjective factors of people and the uncertain factors on the assessment results during the analytic process to a certain extent, and makes the relationship between the corresponding risk priorities of every fault more objective and reasonable.
Keywords :
decision making; decision theory; failure analysis; fuzzy set theory; magnetic levitation; railway safety; railways; risk analysis; suspensions (mechanical components); sustainable development; transportation; FMEA; fuzzy multiple attribute decision-making theory; low speed maglev train; maglev transportation industry; medium speed maglev train; new-type rail transportation tool; property safety; risk analysis method; risk level; risk priorities; sustainable development; urban rail transportation; Circuit faults; Decision making; Electromagnets; Entropy; Power supplies; Safety; Suspensions; Fuzzy; Maglev train; Multiple attribute decision making; Risk analysis; Suspension system;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052809