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

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...

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Bibliographic Details
Main Authors: WEN Kaiyue, QIU Weibin, DING Xianze, OU Hongxiang
Format: Article
Language:zho
Published: Urban Mass Transit Magazine Press 2025-05-01
Series:Chengshi guidao jiaotong yanjiu
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
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