Failure analysis of air-conditioning system of domestic rolling stock based on fuzzy fault tree

Abstract

Abstract Air conditioning is an integral part of a moving train, and when it fails, it will affect passenger satisfaction and electrical safety on the train. By analyzing the principle and failure modes of the air-conditioning system of a certain type of domestic rolling stock, a fuzzy fault tree is constructed in this article, which has the 33 minimum cut sets, for further quantitative analysis. Then, according to the experience of relevant technical personnel and the analysis of air conditioning failure data, the occurrence probabilities of the bottom events are evaluated using the popular triangular fuzzy number. This fault tree can be analyzed quantitatively to find out the probability of the top event and the fuzzy probability importance of the bottom events. Accordingly, we can know the parts of the air-conditioning system of rolling stock that are relatively prone to failure. Through the verification and analysis of real data, it is proved that this is an effective method to locate the weak parts in the air-conditioning system, which can help to identify the possible failure modes and causes, and guide failure diagnosis and prediction of the air-conditioning system, as well as optimize the maintenance program.