The reliability of the traction system in CRH train is of critical importance to the safety of the entire vehicle. Some components in the traction system degrade with age and may cause various incipient faults. These incipient faults often have small amplitudes and obscure early-stage symptoms, and the existing FDD (Fault Detection and Diagnosis) strategies may cause high missing alarms. Incipient fault diagnosis, especially the fault diagnosis in closed-loop systems has become the difficult and hot issue. However, few existing results can be directly applied into the study of incipient fault diagnosis for High-speed railway traction systems. This team will carry out the theoretical research work on real-time incipient fault diagnosis of High-speed railway traction system based on ToMFIR (Total Measurable Fault Information Residual) technique and bond graph modeling, aiming at solving the key scientific problems, such as ①analysis of the compensation effect of the closed-loop controller and the diagnosability of incipient fault; ②fault propagation analysis under closed-loop control configuration; ③incipient fault modeling, detection and diagnosis for High-speed railway traction system; ④real-time diagnosis of multiple incipient actuator/sensor faults. The goal is to develop a systematic theory and methodology of real-time incipient fault diagnosis of High-speed railway traction system, on the basis of combining the theoretical research with the actual demands from CRH train. The results of this project will overcome some weaknesses of the existing incipient fault diagnosis methods to some extent, it is hoped to improve the performance of real-time incipient fault diagnosis of High-speed railway traction system.
动车组牵引系统的可靠性对于高速列车的安全运行至关重要。牵引系统部件的性能衰退会诱发各种类型的早期故障,这些故障由于特征微弱,不易被列车故障监控系统及时检测出。早期故障诊断,特别是闭环控制结构下的诊断是近几年故障诊断研究领域的难点和热点,但目前还少有成果能直接应用于动车组牵引系统中。本项目针对动车组牵引系统,以ToMFIR (Total Measurable Fault Information Residual)残差与键合图理论相结合的方法开展早期故障的实时诊断研究,着重解决:①闭环控制器补偿作用的抑制和早期故障的可诊断性分析;②闭环控制结构下的早期故障传播机理分析;③牵引系统早期故障的建模、检测和诊断;④牵引系统多执行器、多传感器复合早期故障的检测和诊断。形成针对高速列车牵引系统早期故障的诊断理论,并将理论研究与高速列车的实际应用紧密结合,有望改善高速列车牵引系统早期故障的诊断效果。
动车组牵引系统部件的性能衰退会诱发各种类型的早期故障,这些故障由于特征微弱,不易被列车故障监控系统及时检测出。早期故障诊断,特别是闭环控制结构下的诊断是近几年故障诊断研究领域的难点和热点,但目前还少有成果能直接应用于动车组牵引系统中。因此本项目的研究不仅具有一定的理论意义,还具有重要的应用价值。.本课题针对动车组牵引系统,以ToMFIR (Total Measurable Fault Information Residual)残差与键合图理论相结合的方法开展早期故障的实时诊断研究,着重解决:①闭环控制器补偿作用的抑制和早期故障的可诊断性分析;②闭环控制结构下的早期故障传播机理分析;③牵引系统早期故障的建模、检测和诊断;④牵引系统多执行器、多传感器复合早期故障的检测和诊断。.本项目研究形成针对高速列车牵引系统早期故障的诊断理论,并将课题理论研究与高速列车的实际应用紧密结合,在一定程度上改善了高速列车牵引系统早期故障的诊断效果。在本项目的资助下,共发表学术专著一部,论文9篇,其中在国内外学术期刊共发表论文3篇(SCI 收录2篇);在国内外学术会议上发表论文6篇,均被EI收录。
{{i.achievement_title}}
数据更新时间:2023-05-31
基于分形L系统的水稻根系建模方法研究
拥堵路网交通流均衡分配模型
卫生系统韧性研究概况及其展望
面向云工作流安全的任务调度方法
基于分形维数和支持向量机的串联电弧故障诊断方法
高速动车组牵引变压器轻量化理论与方法研究
基于键合图的风电液压变桨系统特性分析和故障诊断
多工况下高速动车组牵引斜齿轮的修形设计及降噪优化方法研究
基于键合图理论的综合能源系统动态状态估计研究