Prediction of Urban Rail Transit Train Door Faults Based on FOA-BP Neural Network Model

[Objective] In order to carry out preventive maintenance before urban rail transit (URT) train doors fail, avoid personnel and property damage, and ensure the operation safety of URT trains, it is necessary to study the pre-diagnosis of URT train door failures. [Method] Taking the abnormal current s...

Full description

Bibliographic Details

Published in:	Chengshi guidao jiaotong yanjiu
Main Authors:	WEN Kaiyue, QIU Weibin, DING Xianze, OU Hongxiang
Format:	Article
Language:	Chinese
Published:	Urban Mass Transit Magazine Press 2025-05-01
Subjects:	urban rail transit train door neural network model fault pre-diagnosis
Online Access:	https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.05.048.html