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This work was completed at Cardinal River Coals in Canada to improve the existing oil analysis condition-monitoring program being undertaken for wheel motors. Key variables were then incorporated into a decision model that provided an unambiguous and optimal recommendation on whether to continue operating a wheel motor or to remove it for overhaul in the basis of data obtained from an oil sample. By optimizing the times of repair as a function both of age and condition data a 20-30% potential savings in overhaul costs over existing practices was identified...
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