Abstract
The profitability and feasibility of a system depends on the optimisation of the work of the subsystem as a unit. Here, the breakdown hours of an LHD machine is predicted by modelling a time series on a Neural Network. By accurately predicting the breakdown hours one can plan for efficient mining operations, maintenance and parts supply chain for replacements.
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