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
-
Prioritize Effective Factors of Scheduling in Tehran Metro Station with Fuzzy TOPSIS Model
by: Vinh Phuc Dung, et al.
Published: (2022-10-01) -
Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan
by: Aayushi Tandon, et al.
Published: (2025-01-01) -
Capitalización anticipada del metro de Santiago en el precio de las viviendas
by: Claudio Agostini, et al.
Published: (2008-01-01) -
The formation, development and classification of rail corrugation: a survey on Chinese metro
by: Yang Wang, et al.
Published: (2024-08-01) -
MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops
by: Dian Chao, et al.
Published: (2025-02-01)