CONVEYOR BELT FAULTS DIAGNOSIS USING BAYESIAN NETWORK

Karim NESSAIB; Abdelaziz LAKEHAL

Center of Academic Publications

CONVEYOR BELT FAULTS DIAGNOSIS USING BAYESIAN NETWORK

https://www.univ-soukahras.dz/en/publication/article/3745

Karim NESSAIB and Abdelaziz LAKEHAL (2022) CONVEYOR BELT FAULTS DIAGNOSIS USING BAYESIAN NETWORK. The 4th International Conference on Electromechanical Engineering (ICEE2022) , Skikda University

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Nowadays, belt conveyors play a vital role in industry and specifically in mines, their availability poses a challenge to maintenance professionals. This study proposes a Bayesian network-based conveyor belt diagnostic method. The developed method has been applied to the conveyor belt of the Ouenza mine. First, the belt conveyor was divided into three main subsystems, and then the a priori probability for each cause was defined. The results obtained show that the majority of faults that influence the operation of the conveyor belt are caused by the transport system. Therefore, to improve the availability of the conveyor belt system, the decision-making for intervention should be done at the first level.

Item Type:	Conference
Divisions:	» Laboratory of Research on Electromechanical and Dependability » Faculty of Science and Technology
ePrint ID:	3745
Date Deposited:	2022-12-21
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/3745