The maintenance of oil pumps is a complex task for any operating organization, and for an industrial enterprise in the oil and gas sector of the economy, this issue has a high degree of urgency. One of the reasons for this is a wide spread of pumping equipment in all areas of oil and gas enterprises. At the same time, an aggressive environment, uneven load, remote facilities, and harsh climatic zones (especially in the areas of the Arctic region or production platforms) are factors that make it relevant to develop special systems that help or simplify the maintenance of pumping equipment. Dynamic modeling is one of the modern technologies which allows for solving the urgent issue of assessing the technical condition of equipment. It is the basis of systems that carry out diagnostics and prognostic calculations and allow for assessing the dynamic state of objects under various conditions of their operation, among other functions. Augmented reality technology is a technology that allows for reducing the time for equipment maintenance by reducing the time for searching and processing various information required in the maintenance process. This paper presents an investigation of the effectiveness of an augmented reality and a dynamic simulation system collaboration in oil pump maintenance. Since there is insufficient research on the joint application of these two technologies, the urgent issue is to prove the effectiveness of such collaboration. For this purpose, this paper provides a description of the system structure, gives a description of the development process of the augmented reality system application and tests the application using Microsoft HoloLens 2.

The AC drive is an important component and the most common element of any manufacturing process. A particularly serious task is the proper assessment of the AC drive’s technical condition, as its failure can cause problems for entire units and complexes of industrial enterprises. At present, there are several approaches either to determine electric drives’ condition or to find certain defects. Frequently, these methods require the installation of additional equipment that exceeds the price of the electric drive by several times. In this work, a simple approach is proposed. It includes the use of a diagnostic curve to assess the condition. This diagnostic curve is produced from the measurement results of the current sensors on the drive. Based on the Park vector modification, this is a simple and affordable way to obtain real-time information. The obtained curve can be used for the following purposes: directly for condition assessment by visual monitoring, as a sign for diagnostic systems built on artificial intelligence methods, for dynamic tuning of the drive control system. The article gives the algorithm for obtaining the diagnostic curve, showing its efficiency for model and field experiments. In model experiments, the faults in the rotor and stator of the drive were simulated; in field experiments, the state was analyzed by changing the load on the motor.

Месторождения полезных ископаемых арктического шельфа территориально рассредоточены, удалены от централизованных источников электрической энергии и требуют для разработки автономные источники электроэнергии, не зависящие от поставок топлива, такие как ветрогенераторы или солнечные генераторы. В свою очередь, для повышения эффективности использования установок генерации электроэнергии на возобновляемых источниках необходимо применять современные преобразователи электроэнергии для достижения максимального КПД. С целью обеспечения непрерывной работы генерирующих установок совместно с централизованной сетью необходимо обеспечить полную и мгновенную синхронизацию. Исследования проводились на основе статистических данных по генерации электроэнергии за счет ветряных турбин, а также метода контурных токов и узловых потенциалов для схем DC-DC и DC-AC-преобразователей. Для подтверждения результатов исследования проведено математическое и компьютерное имитационное моделирование бестрансформаторного DC-DC-преобразователя и разработаны системы управления для обеспечения синхронизации автономной энергосистемы на основе возобновляемых источников энергии с единой энергетической системой. Результаты моделирования показали эффективное применение DC-DC-преобразователей и DC-AC-преобразователей для обеспечения заданного уровня напряжения и синхронизации по фазе ветрогенераторной установки автономной системы электроснабжения с единой энергетической системой.