The article discusses a way to increase the efficiency of automobile operation by improving methods for ensuring the operability of electrical equipment based on the diagnosis of generators by output voltage. As a diagnosis, it is proposed to perform a spectral analysis of the generated voltage in idle mode and to determine the state of various generator elements from the results. The effectiveness of the proposed solutions is determined by the non-separable diagnostics of the generator, which, based on a thorough examination, can determine the state of various elements of the generator. This method does not require taking the generator out of operation, does not depend on its design and can be used in difficult operating conditions to obtain preliminary information about the state of the generator at the initial stage of maintenance.

In the article different methods of diagnosis of failures of electric equipment which are most often found in the industry today. The classification of methods for diagnosing motor failures is presented, and the advantages and disadvantages of existing methods for diagnosing failures in electric equipment are revealed. Based on the description of the methods of diagnosing electric equipment failures, a comparative table was compiled. Analyzing the comparative table of methods for diagnosing failures of electric equipment, the most current method for diagnosing the technical condition of the electric motor was determined.

The main directions of increasing the reliability and electrical safety of power distribution networks are considered in the article. The schemes of the main directions of development and improvement of electric grids are given.

The possibilities of using controlled transformer-type shunt reactors at power grid substations to optimize the transmission mode are considered. The laws of voltage regulation, providing the mode of natural power and reduction of active power losses in the electrical system, are highlighted. Key words: energy complex, controlled transformer-type shunt reactor, voltage stabilization, thyristor voltage controller, control winding.

The article is devoted to the task of automating the assessment of the electrical safety level of electrical installations based on the determination of the electrical resistivity of soil layers ρ in specific climatic conditions. The soil ρ value depends on many factors, which can vary significantly during the year. Therefore, the decision was made using modeling based on one of the areas of artificial intelligence: fuzzy logic.

The article analyzes the state and problems of cluster development in the real sector of the region based on the materials of the Pavlodar region. The main problem of innovative development of the Pavlodar region, as well as in all regions of Kazakhstan, in general, is the lack of innovative activity of enterprises, which is reflected in the volume, frequency and efficiency of their innovations. At the same time, most of the enterprises belonging to the real sector of the economy have sufficient resources for the development of innovative activity. However, the prospects for their interaction with enterprises in other sectors and sectors of the economy for the purpose of technology transfer are insignificant, which, in general, doesn’t meet the principles of balanced spatial development of the territory formulated by the program for the development of territories of the Republic of Kazakhstan until 2020. One of the ways to solve this problem is formation and development of a cluster approach and interaction of business entities. The article assesses the efficiency of the cluster’s functioning as an institution of regional development. On the example of the metallurgical cluster of Pavlodar region, the main ways and methods of forming cluster initiatives in the regional economy are considered, a SWOT analysis of the development of the metallurgical cluster of the region is given, and its main problems are identified; identifies priority directions of clusters’ development (metallurgical cluster, including the production of final products, the cluster of railway engineering, agri-food cluster), the realization of which in the region could create the conditions for the emergence and full development of a number of new highly specialized sectors such as cluster chemistry, cluster of road and construction machinery, transport logistics cluster, cluster of modern production technologies and engineering, cluster of manufacturing components for machinery and equipment and cluster of industrial electrical engineering and equipment for power engineering. The authors also noted that the realization of regional development strategies of cluster initiatives can potentially lay the foundations for clusters “future days”, such as: cluster of resource efficiency and environmentally processing, the cluster of new energy, the cluster of innovative medicine, tourism and recreational cluster.

The present stage of development of power systems is characterized by the need to increase their intelligence, that is, the formation of an environment capable of solving the problems of effective management of all components included in the power system. One of the features of modern energy systems is an active consumer, that is, a consumer who has the opportunity to optimize the schedule of loading their capacities, planning energy consumption, intellectualization of energy consumption. In addition to the fact that there are digital systems for collecting, processing and presenting information, as well as transmitting this information via the Internet, to solve the most difficult task of managing power systems, it is necessary to develop a large number of models adequate to real processes that can describe the processes taking place in the power system under consideration. The purpose is to develop models capable of adequately describing the interrelated processes occurring in the considered elements of the power system, as well as in the aggregate of related elements; development of methods that allow solving problems of effective control of elements of energy systems on the basis of the proposed intelligent models. To solve the problem of increasing the intelligence of the power system, nonlinear adaptive models of electrical complexes of an energy-intensive enterprise included in the power system were developed on the basis of balance equations and artificial intelligence methods. The production of alumina with the properties of inertia, nonlinearity and closure is chosen as the production under consideration. This type of production was chosen as the most difficult to predict due to the unpredictability of changes in energy consumption during the transition to other modes of its operation, associated, for example, with the receipt of raw materials with a different chemical composition for processing. Static and dynamic models of energy consumption of electrotechnical complexes with continuous inertial nonlinear closed production based on artificial intelligence methods have been developed, which makes it possible to eliminate the need to use long time series of retrospective data. For the considered type of continuous energy-intensive production, dynamic characteristics of energy consumption and technological processes are obtained from the main controlled parameters, which make it possible to predict emergency situations and partly man-made disasters. On the basis of a genetic algorithm, a multiparametric optimization problem of energy management of continuous production has been solved, taking into account technological parameters and cost factors.

Main problem: Monitoring the reliability of the foundation of roads, buildings and engineering structures is an important aspect of geophysical research. Modeling of geological heterogeneities is relevant. Moreover, the use of computer modeling in this problem is associated with computational costs. Purpose: Analysis of the vertical electrical sounding (VES) method for modeling the physical properties of soil and their changes when exposed to elastic vibrations. Methods: To achieve the goal, the vertical electrical sounding (VES) method was used, using a one-dimensional model of the geological environment. The direct VES problem was solved by calculating the Hankel integral. Results and their significance: The study made it possible to model a large number of soil layers using the VES method. The results obtained make it possible to determine the parameters of detected objects and changes in the characteristics of the controlled environment when exposed to elastic vibrations. The significance of the results lies in the possibility of improving the method for modeling the physical properties of soil and taking into account their changes under the influence of elastic vibrations, which helps to increase the efficiency and accuracy of monitoring the reliability of the foundation.