Chorna O. Information technology of complex monitoring of induction motor states on basis of indirect stories

The dissertation is devoted to the decision of an actual scientific problem of development of information technology of the complex monitoring of a condition of asynchronous motors directly during performance of the technological process on the basis of external signs of their work. The information model of asymmetric, according to the parameters, induction motors has been further developed, which takes into account experimental data on the uneven distribution of magnetic field induction on the motor stator surface, which allows to get information about the technical condition of an asynchronous motor in real time. For the first time, a model for monitoring the state of an asynchronous motor is obtained, which differs from the existing ones by determining the relative residual insulation resource due to the linear dependence of the coefficient calculated on the basis of the Busemann metric, which allows to detect the parametric asymmetry of the stator windings of an asynchronous motor according to the information about the change in the distribution of the magnetic field induction on its surface. The method of complex monitoring of asynchronous motors has been improved, which differs from the existing ones in that the set of diagnostic parameters includes only external signs of motor operation mode, and the sequence of their application is determined by the parameter of maximum individuality, which allows to increase efficiency of operation of the engine on the basis of actual information on a current condition in real time due to more exact diagnostics. Applied results of the dissertation research are a formal description of complex monitoring of asynchronous motors based on external features, development of algorithmic and software, construction of a diagnostic system that can predict the state of the motor and can determine the duration and feasibility of its further operation.