| As my country’s high-speed train equipment technology continues to improve,and the structure of high-speed trains is becoming more and more complex,if the fault data detected by sensors can be used for safety evaluation,this will help promote the long-term and healthy development of my country’s high-speed trains.The core content of this article is based on the sensor monitoring data actually deployed on high-speed trains,referring to the safety standards of the past high-speed trains to redefine and classify the fault data monitored by the sensors,and refer to the fault level to select the fault to analyze the reliability of high-speed train traction drive system.In order to make the safety evaluation result more reliable and accurate,the traction drive system is divided into three subsystems according to the MBSA principle,and the reliability of the three subsystems is analyzed with reference to the new failure level.Taking the traction converter as a typical key component,it is divided into five sub-components,faults are selected for reliability analysis,and the analysis results are verified and analyzed.Finally,specific maintenance decision-making recommendations are given for the three subsystems of the traction drive system and the traction converter.The main contents include:(1)Perform statistics and analysis on the fault data monitored by the sensors,and select the fault data of 8 subsystems.Using the analytic hierarchy process,the fault data is divided into new fault levels from four dimensions,and it is suitable for the safety evaluation of the high-speed train traction drive system.This classification of failure levels promotes subsequent reliability analysis and maintenance advice decision-making.(2)The method of describing the fault state of a complex system is expanded from a three-state description to a five-state description.In addition,the traction drive system is divided into three sub-systems according to the MBSA principle,and the reliability of the three sub-systems in a fuzzy state is analyzed by the T-S fuzzy analysis method.This method is conducive to accurately find weak subsystems and is an important reference basis for determining key components.(3)Through analysis,it is considered that the traction converter is a typical key component.The traction converter is divided into five sub-components,and the failure probability of the components is determined based on the actual fault data on site,and the software Agena Risk and Ge Nle are used to perform prior probability analysis,posterior probability analysis,influence strength analysis and sensitivity analysis on the components.Through analysis,the sub-components with lower reliability were determined,and the analysis results were verified and analyzed,which provided reference opinions for the targeted maintenance decision of key components.(4)Based on the analysis object of the traction drive system,referring to the results of the reliability analysis of this paper,the overhaul decision-making opinions that meet the overhaul standards are given to the subsystems of the traction drive system.For the traction converter,the risk sequence number method is adopted,referring to the new classification and the actual failure probability of the components,and the targeted maintenance decisions are given for the five sub-components respectively. |