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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http://www.sciencedirect.com/science/article/pii/S2772941923000145

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