Adoptable approaches to predictive maintenance in mining industry: An overview

Author:

Dayo-Olupona Oluwatobi,Genc BekirORCID,Celik TurgayORCID,Bada SamsonORCID

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science

Reference121 articles.

1. Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector;Ali;Artif. Intell. Rev.,2020

2. A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor. Shock and Vibration;Alshorman,2020

3. On the use of machine learning methods to predict component reliability from data-driven industrial case studies;Alsina;Int. J. Adv. Des. Manuf. Technol.,2018

4. Development of a cyber-physical system to monitor early failures detection in vibrating screens;Aqueveque;IEEE Access,2021

5. Data-driven condition monitoring of mining mobile machinery in non-stationary operations using wireless accelerometer sensor modules;Aqueveque;IEEE Access,2021

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