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.

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 provides a mathematical description of an induction motor with a device for indirect control of the electromagnetic moment and angular velocity of an induction motor in an electric drive, which allows substantiating on its basis a method for controlling the output variables of an asynchronous electric motor. A simulation model of an induction motor with an indirect control device for the output variables of an induction motor and the main results of the study are presented.

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.