학술논문

A Dynamic Risk Analysis Method for Compound Faults of Traction System of High Speed Train Based on Characteristic Variables
Document Type
Conference
Source
2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), 2019 CAA Symposium on. :562-569 Jul, 2019
Subject
Components, Circuits, Devices and Systems
Robotics and Control Systems
Signal Processing and Analysis
compound fault
high-speed train traction system
event tree
grey clustering method
risk analysis and evaluation
Language
Abstract
The traction system of high-speed train has many faults, among which compound faults account for a certain proportion. Compared with single faults, compound faults will lead to more serious consequences. This paper takes the fault chain of compound fault of “CRH380D high-speed train traction inverter IGBT open circuit and motor speed sensor gain coefficient is too small” as an example, establishes a mathematical model of the fault chain based on the fault mechanism, and obtains the relationship between fault characteristic variables and traction motor failure rate by using relevant experimental data and national standards, thus obtains the probability of compound risk chain occurrence. Event tree and grey clustering method were used to evaluate the consequences of the compound risk chain. Finally, taking the actual Chengdu-Chongqing passenger dedicated line as an example, the risk analysis and evaluation of the compound fault were carried out.