Haul Truck Reliability Analysis Applying a Meta- Heuristic-based Artificial Neural Network Model: a Case Study from a Bauxite Mine in India
نویسنده
چکیده
A reliability analysis of a dumper machine is performed using the neural network model. A metaheuristic algorithm is applied for proper parameter selection for the neural network. A time series approach is applied in the reliability analysis to forecast the dumper’s future failure time. The time series analysis is performed using the neural network model, where the numbers of input variables for the model are selected by calculating the entropy value. The case study data were collected from one open-pit bauxite mine in India. The results of this analysis demonstrate that the developed model can forecast quite accurately the dumper’s future failure time.
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