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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Urban Mass Transit Magazine Press
2025-05-01
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| Series: | Chengshi guidao jiaotong yanjiu |
| Subjects: | |
| Online Access: | https://umt1998.tongji.edu.cn/journal/paper/doi/10.16037/j.1007-869x.2025.05.048.html |
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