Research on Intelligent Fault Diagnosis Method for Rail Transit Platform Door System Equipment Based on Sound Signal

With the development of urban rail transit, platform door failures occur frequently. The traditional manual method of judging equipment status has problems such as low accuracy and poor real-time performance, so it is necessary to combine intelligent fault diagnosis methods. This paper studies an intelligent fault diagnosis method for rail transit platform door system equipment based on acoustic signals. It introduces the fault diagnosis process and research analysis methods based on acoustic signals. By analyzing the correlation between opening acoustic signals of platform screen doors when they are operating normally and when there are potential faults, a method for judging whether there are potential safety hazards in the track doors is proposed. This method has advantages such as non-contact and low cost, and it is of great significance to conduct fault diagnosis through audio signal analysis.