Wang H., R. Laggoune
Development of Maintenance Strategy in Mineral Processing Multi-Component Systems is a complex process, and its optimization helps in reducing costs and risks and enhancing performance of assets. A slurry filtration plant is considered as case study. Individual component’s failure rate and MTBF are determined to facilitate the development of a cost-effective maintenance plan. A cost function for predictive and preventive maintenance are proposed for the overall system, considering multi-component inter-dependence. The reliability of critical components is analyzed with Weibull model. Single-component age-specific maintenance-based algorithm is used to determine the preventive replacement times of all components reducing the total cost by reducing the total downtime of the system. This paper presents a general approach for the optimization of a mineral processing multi-component system in a context of economic dependence based on maintenance execution strategy. Illustrative example analyses MTBF for decisions on when the preventive maintenance can take place based on interactive data acquisition from SCADA on asset performance.
@article{6de5b842-80f0-4d89-b86f-9f07d1496107,
title={Maintenance Strategy Optimization in Mineral Processing Multi-Component Systems: A Case Study of Slurry Filtration Plant},
author={Wang H. and R. Laggoune},
year={2024},
language={en}
}TY - JOUR TI - Maintenance Strategy Optimization in Mineral Processing Multi-Component Systems: A Case Study of Slurry Filtration Plant AU - Wang H. AU - R. Laggoune PY - 2024 LA - en ER -
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