The article discusses the structure of autonomous electrical systems with an electric drive and an electric energy generation system. An approach is described for assessing the overall efficiency of technological cycle equipment with specification of parameters that must be considered when calculating it. The necessity of taking into account energy efficiency and operability indicators of autonomous electric complexes is substantiated. The effectiveness of the use of autonomous systems decreases throughout the entire life cycle due to wear and tear. As the operability of electromechanical equipment, an indicator of the residual resource is selected. The calculation of the residual resource, with the definition of its boundary values and recommendations for further use. Nominal energy efficiency parameters of autonomous electrotechnical complexes with electric drive deteriorate during operation, which also needs to be taken into account. To simplify the assessment of the operational state of electromechanical equipment, a state diagram is presented that allows you to track the dynamics of degradation of individual nodes. Taking into account the described indicators and means of control, it is possible to increase the efficiency of using autonomous complexes.

The frequency of maintenance of electromechanical equipment depends on the plant, which uses and runs this equipment. Very often the maintenance frequency is poorly correlated with the actual state of the electromechanical equipment. Furthermore, traditional methods of diagnosis sometimes cannot work without stopping the process (for example, for equipment located in hard to reach places) and so the maintenance costs are increased. This problem can be solved using the indirect methods of diagnosing of the electromechanical equipment. The indirect methods often use the parameters in the real time and seldom use the parameters of traditional diagnostic methods for determination of the resource of electromechanical equipment. This article is dedicated to developing the structure of a special automated control system. This system must use the big flow of the information about the direct and indirect parameters of the equipment state from plants from different areas of industry and factories which produce the electromechanical equipment.

Given the critically important role of haul trucks in the overall mineral extraction process chain, the suspension system — the component with the highest failure frequency — was selected as the research object. The authors propose a method for quantitatively assessing a group of parameters of a technological transportation route due to challenging mining operating conditions. Using data from two mining enterprises over a three-year period, dependence was established between the reduction in the service life of dump truck suspensions and each of the identified factors in the route parameter groups. The assessment was carried out using data from remote monitoring systems installed on the vehicles. Based on the derived dependence, a criterion for optimizing the overhaul interval of haul truck suspensions was developed, incorporating a set of planning and economic factors. This criterion allows decisions to be made on the advisability of implementing measures aimed at achieving a target reliability level for the suspension system within the framework of the maintenance strategy adopted by mining enterprises, which combines scheduled and emergency repairs of machine components and assemblies. Using the proposed criterion, an optimal ratio between grading equipment and haulage equipment was determined when forming the vehicle fleet. Furthermore, an algorithm for determining a rational overhaul interval for haul truck suspensions was developed based on this criterion. Implementation of the algorithm at the mining enterprises under study has significantly reduced both the duration of unplanned downtime caused by suspension failures and the time required for repair activities.