Preventive and Predictive Maintenance for Heavy-duty Machinery

Abstract

Research into the maintenance management of the mining industry and equipment maintenance is scant, despite the increased mining operation and productivity in recent years. In this paper the appropriate maintenance method for the subsystems of tracked dump truck and overall equipment is accomplished, by combining several maintenance analysis tools is. The maintenance data were processed using Pareto analysis technique, which assumes that 80% of a project's benefit may be realized by completing 20% of the work—or, conversely, that 80% of issues can be traced back to 20% of the causes.