A multi-task model for failure identification and GPS assessment in metro trains
Air and oil leaks are two of the predominant operational failures in metro trains, which can cause severe issues and a lot of downtime. Predictive maintenance on such machinery can be of great use. This work aimed to develop a deep learning algorithm for fault analysis in metro trains. The MetroPT d...
Saved in:
Main Authors: | Pratik Vinayak Jadhav, Sairam V. A, Siddharth Sonkavade, Shivali Amit Wagle, Preksha Pareek, Ketan Kotecha, Tanupriya Choudhury |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-11-01
|
Series: | AIMS Environmental Science |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/environsci.2024048 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning-based forecasting of ground surface settlement induced by metro shield tunneling construction
by: Qiankun Wang, et al.
Published: (2024-12-01) -
Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan
by: Aayushi Tandon, et al.
Published: (2025-01-01) -
Prioritize Effective Factors of Scheduling in Tehran Metro Station with Fuzzy TOPSIS Model
by: Vinh Phuc Dung, et al.
Published: (2022-10-01) -
Optimization Analysis of Switch Numbering in Metro Power Supply System
by: WANG Xiaobo, et al.
Published: (2025-01-01) -
Congestion control algorithm based on jitter detection in metro Ethernet networks
by: HAO Jun-rui1, et al.
Published: (2009-01-01)