Development of an optimized maintenance scheduling for emergency rescue railway wagons using a genetic algorithm: a case study of Iran railways company
A Zavareh, E Fallahiarezoudar… - International Journal of …, 2023 - emerald.com
Purpose This paper aims to optimize the maintenance scheduling of emergency rescue
wagons in railway companies using a genetic algorithm (GA). It offers an integrated model …
wagons in railway companies using a genetic algorithm (GA). It offers an integrated model …
Train Wheel Out-Of-Roundness (OOR) and Machine Learning-Vibration Based Fault Diagnosis: A Review
Y Yusran, IW Suweca, YA Handoko - Jurnal Dinamika Vokasional …, 2024 - journal.uny.ac.id
This article aims to give a complete review of previous and current research on numerous
types of out-of-roundness (OOR) failures in train wheels, as well as diagnostic approaches …
types of out-of-roundness (OOR) failures in train wheels, as well as diagnostic approaches …
Cost-sensitive learning using logical analysis of data
H Osman - Knowledge and Information Systems, 2024 - Springer
Classification is a common task in data mining that assigns a class label to an unseen
situation. It has been widely used in decision making for various applications, and many …
situation. It has been widely used in decision making for various applications, and many …
The Purpose of the Research Agenda for Rail Wagon Predictive Maintenance
Monitoring the technical condition of rail wagons remains a significant challenge, especially
concerning freight wagons. The article outlines the purpose of research agenda “Innovative …
concerning freight wagons. The article outlines the purpose of research agenda “Innovative …