Research and design of an expert diagnosis system for rail vehicle driven by data mechanism models

作     者：Lin Li Jiushan Wang Shilu Xiao 

作者机构：Zhuzhou Guochuang Rail Technology Company LimitedZhuzhouChina Zhuzhou Guochuang Rail Technology Company LimitedIndustrial Intelligence Research InstituteZhuzhouChina 

出 版 物：《Railway Sciences》 (铁道科学（英文）)

年 卷 期：2024年第3卷第4期

页      面：480-502页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by Hunan Province Enterprise Technology Innovation and Entrepreneurship Team Support Program Project,Hunan Province Science and Technology Innovation Leading Talent Project[2023RC1088] Hunan Province Science and Technology Talent Support Project[2023TJ-Z10] 

主　　题：Rail transit Rail vehicle Expert diagnosis Intelligent operation and maintenance Deep learning Lifespan prediction Reliability analysis 

摘      要：Purpose-The aim of this work is to research and design an expert diagnosis system for rail vehicle driven by data mechanism ***/methodology/approach-The expert diagnosis system utilizes statistical and deep learning methods to model the real-time status and historical data features of rail *** on data mechanism models,it predicts the lifespan of key components,evaluates the health status of the vehicle and achieves intelligent monitoring and diagnosis of rail ***-The actual operation effect of this system shows that it has improved the intelligent level of the rail vehicle monitoring system,which helps operators to monitor the operation of vehicle online,predict potential risks and faults of vehicle and ensure the smooth and safe operation of ***/value-This system improves the efficiency of rail vehicle operation,scheduling and maintenance through intelligent monitoring and diagnosis of rail vehicle.