A novel diagnosis strategy for braking system of urban rail transit based on fuzzy set and dynamic fault tree

作者：Duan Rongxing; Fan Jinghui

来源：ICIC Express Letters, 2014, 8(7): 1809-1814.

• Diagnosis strategies
• Diagnostic algorithms
• Diagnostic efficiency
• Diagnostic importance factors
• Dynamic fault trees
• Expected diagnosis costs
• Expert elicitation
• Fuzzy set techniques

In this paper, a new diagnosis strategy for braking system of urban rail transit is developed to improve the diagnostic efficiency, which makes the best of some reliability theories and fuzzy set techniques. Specifically, it uses expert elicitation and fuzzy set theory to evaluate the failure rates of the basic events for the braking system, and adopts a dynamic fault tree model to capture the dynamic failure mechanisms and calculates some reliability results by converting a dynamic fault tree into an equivalent Bayesian network (BN). Furthermore, the strategies are proposed to update the diagnostic importance factor (DIF) and the cut sets according to the sensors data. Finally, an efficient diagnostic algorithm is developed based on these reliability results to guide the maintenance crew to diagnose the braking system. The experimental results demonstrate that the proposed approach can locate the fault of the braking system with less diagnosis cost.

• 出版日期2014