The article presents an approach to determining the electric drive’s operability based on an asynchronous motor with a short-circuited rotor and a two-link frequency converter. Mathematical description of the frequency-controlled electric drive is performed, in particular, selection of criteria taking into account an electric and mechanical part. The harmonic current distortion coefficient as a component of the power coefficient is used for the determination of the energy criterion. The mechanical criterion is the coefficient of the electromagnetic moment pulsation, on the value of which the conjugated equipment depends. The operability field is represented as a function of three variables: (а) rotor speed, (b) current harmonic distortion coefficient, and (c) electromagnetic moment pulsation coefficient. The obtained surface makes it possible to determine the actual state of the electric drive and to estimate the reserve of operability, which allows reducing the operating costs in terms of repair and maintenance.

This article is devoted to expanding the possibilities of assessing the technical state of the current consumption of asynchronous electric drives, as well as increasing the information capacity of diagnostic methods, in conditions of limited access to equipment and incompleteness of information. The method of spectral analysis of the electric drive current can be supplemented by an analysis of the components of the current of the Park's vector. The research of the hodograph evolution in the moment of appearance and development of defects was carried out using the example of current asymmetry in the phases of an induction motor. The result of the study is the new diagnostic parameters of the asynchronous electric drive. During the research, it was proved that the proposed diagnostic parameters allow determining the type and level of the defect. At the same time, there is no need to stop the equipment and taky it out of service for repair. Modern digital control and monitoring systems can use the proposed parameters based on the stator current of an electrical machine to improve the accuracy and reliability of obtaining diagnostic patterns and predicting their changes in order to improve the equipment maintenance systems. This approach can also be used in systems and objects where there are significant parasitic vibrations and unsteady loads. The extraction of useful information can be carried out in electric drive systems in the structure of which there is a power electric converter.

В статье приведены результаты исследований применения фреймворка автоматического создания алгоритмов машинного обучения (AutoML) для решения задач диагностики и оценки технического состояния электродвигателей, применяемых в широком спектре в горнодобывающей промышленности. Представлена работа и функционирование AutoML Фреймворка – FedotIndustrial, разработанного автором. Предложен в качестве экспериментального и практического применения испытательный стенд, на котором при помощи электродвигателей переменного тока формируются условия изменения нагрузки и величины дефекта в виде несоосности. Выявлено, что более информативной является интерпретация данных в виде годографа Парка и диагностической кривой. Установлено что, при решении задача классификации данных с учителем, формируются разметка данных на классы, образующих в совокупности 6 классов технического состояния электродвигателя. Результаты исследований могут быть полезными при дальнейшей разработке предиктивных систем автоматизации и защиты электромеханического оборудования горнодобывающих предприятий.