Application of XGB-based metaheuristic techniques for prediction time-to-failure of mining machinery

Application of XGB-based metaheuristic techniques for prediction time-to-failure of mining machinery

Mining equipment is a critical component in the success of mining operations, and unplanned downtime can be costly. Efficient and intelligent maintenance planning is therefore essential to minimize downtime and maximize productivity. Consecutive time-to-failure (TTF) is an important indicator of mac...

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Bibliographic Details
Main Authors:	Mohammad Mirzehi Kalateh Kazemi, Zohreh Nabavi, Mojtaba Rezakhah, Ali Masoudi
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Series:	Systems and Soft Computing
Subjects:	XGB-based hybrid model Failure time data extreme gradient boosting (XGB) particle swarm optimization (PSO) gray wolf optimization (GWO) Metaheuristic optimization
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772941923000145

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