Methodology for predicting the failure rate of mining machines with account of their multimode operation

The paper presents a methodology for forecasting operational failures of vehicles that was developed based on provisions of the probability theory, as well as methods of the mathematical and simulation modelling. This methodology differs from the known ones by a more accurate determination of the moment in time when the operational failure of the vehicle takes place with account of the cumulative mileage of mining machine for each discrete period of time within the simulation model depending on the operational factors that characterise the design, operational properties and operating conditions of the vehicle for their subsequent accounting when designing an adequate model for recovery of the mining machine's technical condition. The proposed structural model to forecast the failure rate of the mining machines taking into account the results of processing big sets of data on technical condition will allow to quantitatively assess the performance indicators of the company's repair system of mining equipment. The results obtained with the help of this model are used in research activities on technical and economic justification of technical requirements for the prospective system to restore mining equipment during operation in order to create the necessary conditions for ensuring their high availability.