2022
DOI: 10.14445/22315381/ijett-v70i3p217
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Numerical Analysis of Belt Conveyors for Maintenance Decision Support System

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“…Together with the monitoring and diagnostic methods, the statistical procedures [47] for fault diagnostics and damage detection involving the algorithms based on the neural networks for example [48] have been developed. Statistical and numerical procedures and life time forecasting methods [49] can be consequently used as the basis for the planning of the maintenance procedures [50] also involving procedures for the predictive maintenance of the belt conveyor systems [51] because the reliability of the conveyor belt operation can be significantly increased not only by the utilization of suitable diagnostics and healthmonitoring systems, but also by the corresponding convenient maintenance procedures, which can significantly increase operational time of the belt conveyors and their life-time, thus significantly reducing the operational costs of the belt conveyors and contributing to the development of sustainable transportation systems.…”
Section: Introductionmentioning
confidence: 99%
“…Together with the monitoring and diagnostic methods, the statistical procedures [47] for fault diagnostics and damage detection involving the algorithms based on the neural networks for example [48] have been developed. Statistical and numerical procedures and life time forecasting methods [49] can be consequently used as the basis for the planning of the maintenance procedures [50] also involving procedures for the predictive maintenance of the belt conveyor systems [51] because the reliability of the conveyor belt operation can be significantly increased not only by the utilization of suitable diagnostics and healthmonitoring systems, but also by the corresponding convenient maintenance procedures, which can significantly increase operational time of the belt conveyors and their life-time, thus significantly reducing the operational costs of the belt conveyors and contributing to the development of sustainable transportation systems.…”
Section: Introductionmentioning
confidence: 99%