Implementation of Digital Twins for electrical energy conversion systems in selected case studies

Abstract

Reference implementation of Digital Twins for electrical energy conversion systems is an important and open question in the industrial domain. Digital Twins can predict the future performance, behaviour, and maintenance needs of a complex system. Today the concept of Digital Twins is not only an emulation or simulation of the physical object along with its development history but also contains much information from the respective manufacturers and services. This paper presents the current stateoftheart of Digital Twins in relation to some interesting novel applications from different fields of electrical engineering. The objective of the paper is to give an overview of the successful application of Digital Twins in electrical energy conversion systems, such as industrial robotics and wind turbines; to discuss trends in applications like electric vehicles; and to suggest new applications, such as telescopes. Special attention is paid to the possible application of Digital Twins in faults diagnostics and prognostics of electrical energy conversion systems. Successful implementation of Digital Twins in any electrical energy conversion system diagnostics and prognostics allows for lowcost maintenance, higher utilization of the individual devices and systems, as well as lower usage of material and human resources. A SWOT analysis was performed for Digital Twin applications in electrical energy conversion systems. The latter is a useful analysis technique that explores possibilities for new achievements or solutions to existing problems and makes decisions about the best path.

Analysis of possible faults and diagnostic methods of the Cartesian industrial robot

“…Diagnostics of the overall performance of industrial robots is the main task for the standard operation of mechanisms. Diagnostics should be carried out for different systems [1,6,7]:…”

“…Diagnosis of the control system and power electronics involves diagnostic sensors used to obtain feedback from a robot and for more effective control mechanisms. This type of diagnosis of the control system also includes checking of control algorithms and programs during the operation of an industrial robot [1,6,7].…”

“…Diagnosis of the motor and mechanical components as well as mapping of the most probable damage minimize the risks associated with malfunctioning of mechanisms and prevent serious damage. Moreover, diagnostics of different types of gears allows to understand how to eliminate emerging problems with minimal cost, which is an essential criterion in the context of globally developing production and caring for the environment [1,6,7]. This article is a general overview of gears used for industrial robots and the related faults.…”

Yenilenebilir Enerji Kaynakları İçin Dijital İkiz Konsepti

“…Various academic studies have proven that especially the use of electric vehicles and the digital twin concept that will be included in the management of these vehicles can contribute positively to reducing carbon dioxide emissions. In addition to all these, the digital twin concept can be used to predict the future performance, behavior, maintenance and repair needs of complex distributed energy systems (Rassolkin et al, 2021).…”

Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects

“…The authors of [51] follow state-of-the-art discussed DT paradigms to present case studies of energy conversion systems. The five-dimensional model is accepted, while the importance of the "living" model is highlighted.…”