Integrated management services for electromechanical mining equipment efficiency

The paper presents functional features, properties and requirements for implementation of the algorithms necessary to ensure the transition to the predictive maintenance system for electric drives of the mining transport machines to manage the efficiency of equipment operation. A set of algorithms based on artificial intelligence has been developed, which allows the transition to the predictive maintenance system to improve the efficiency of the drive operation. The complex structure of software services for electric drive operation control has been justified, in which additional power losses due to defective components as well as equivalent emissions of the electric drive and the drive mechanism are taken into account as the decisionmaking criteria. The paper defines the control criteria, diagnostic parameters and algorithms required for diagnostics and prediction of defects development that determine the efficiency of electric drive operation in the mining and transportation sector.