FMECA Analysis of EMU Traction System Based on Interval Intuitive Fuzzy Set and Multi Attribute Group Decision Making
In order to ensure the safety of the EMU traction system,it is crucial to identify the key components of the system fault.To address the contradiction between the fuzziness of evaluation information,differences in risk preferences,and irrationality in the calculation of risk priority numbers in the traditional FMECA,an interval intuitionistic fuzzy set(IIFS)is introduced to reduce the fuzziness of specific numerical scores.Using interval intuitionistic fuzzy entropy to determine the entropy value of each fault mode attribute under the evaluation of each expert.And the interval intuitionistic fuzzy ensemble operator(AIVIFWM)is used to aggregate multiple independent matrices into comprehensive score,reducing the subjective impact of the evaluation.Combined with the decision-making idea of multi-attribute group,the score function G(Aj)of each comprehensive evaluation interval after assembly is calculated,and the risk ranking of failure modes is carried out.Taking the fault data of a certain type of EMU traction system in 2022 as an example,32 failure modes of 24 components are summarized.The results show that the rectifier,converter cooling unit and carbon skateboard are the key components of the system,which provides critical directions for the maintenance decision-making of EMU.
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