Digital twin is one of the emerging technologies for the digital transformation of the power industry. Many existing studies claim that the widespread application of digital twins will shift the industry to a principally new level of development. This article provides an extensive overview of the industrial application experience of digital twin technologies for solving the problems of modern power systems with a particular focus on the task of high-voltage power equipment lifecycle management. The latter task contours one of the most promising areas for the application of the digital twins in the power industry since it requires deep analysis of the technological processes dynamics and the development of physical, mathematical and computer models that cover all the potential benefits of the digital twin technology. At the moment, there is a lack of reliable data on the problems of assessing and predicting the technical state of high-voltage power equipment. The use of digital twin technology in modern power systems will allow for aggregating data from a variety of real objects and will allow the automatization of collecting and processing of big data by implementing artificial intelligence methods, which will ultimately make it possible to manage the life cycle of the power equipment. The article puts to scrutiny the industrial experience of digital twins creation, considering the technical solutions suggested by the largest manufacturers of electrical equipment. A classification of digital twins, examples and main features of their application in the power industry, including the problem of managing the life cycle of high-voltage electrical equipment, are considered and discussed.

Stress echocardiography is a technique that allows to evaluate myocardial contractility and intracardiac hemodynamics under conditions of physical exercise or reaction to a pharmacological drug. Evaluation of systolic function of the left ventricle plays an important role in establishing the prognosis and choosing a treatment strategy for various cardiovascular diseases. Speckle tracking technique is one of the most promising methods for determining values of left ventricular deformation, due to which not only visual, but also quantitative assessment of left ventricular myocardial contractility is possible at rest and during stress tests. In this review, we analyzed the possibility of using speckle tracking stress echocardiography with physical exercise or with the pharmacological drug, in order to diagnose various diseases, such as ischemic heart disease, valvular heart disease, diabetes mellitus, and microvascular damage. Along with this, differences between the values of the longitudinal systolic deformation depending on age were considered. We also compared diagnostic values of the data of speckle-tracking stress echocardiography and coronary angiography and values of the data of speckle-tracking stress echocardiography and computed tomography of the coronary arteries.

This paper describes the possibilities of machine learning application in the tasks of technical state assessment of high-voltage instrument transformers. An analytical review of modern systems for technical state assessment of high-voltage equipment is presented, their advantages and disadvantages are described. A mathematical model of an automated system for assessing the high-voltage instrument current and voltage transformers based on gradient boosting over decision trees has been developed. The efficiency of the developed solution is proved using the example of analysis of a real distribution zone, which allows identifying the state of instrument transformers with an accuracy of 84%.

No abstract

Stress echocardiography is a technique that allows to evaluate myocardial contractility and intracardiac hemodynamics under conditions of physical exercise or reaction to a pharmacological drug. Evaluation of systolic function of the left ventricle plays an important role in establishing the prognosis and choosing a treatment strategy for various cardiovascular diseases. Speckle tracking technique is one of the most promising methods for determining values of left ventricular deformation, due to which not only visual, but also quantitative assessment of left ventricular myocardial contractility is possible at rest and during stress tests. In this review, we analyzed the possibility of using speckle tracking stress echocardiography with physical exercise or with the pharmacological drug, in order to diagnose various diseases, such as ischemic heart disease, valvular heart disease, diabetes mellitus, and microvascular damage. Along with this, differences between the values of the longitudinal systolic deformation depending on age were considered. We also compared diagnostic values of the data of speckle-tracking stress echocardiography and coronary angiography and values of the data of speckle-tracking stress echocardiography and computed tomography of the coronary arteries.