Controller-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics

Milton, Matthew; O, Castulo De La; Ginn, Herbert L.; Benigni, Andrea

doi:10.1109/tpel.2020.2971775

Cited by 138 publications

(40 citation statements)

References 16 publications

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“…Smart power management area will also profit from SoC FPGAs, especially by introducing in the controller Digital Twins (DTs) of the used static power converters. DTs have several benefits such as the possibility to make online diagnosis [34], or to study with fine details the power losses of a complex structure like a Modular Multilevel Converter (MMC) [35].…”

Section: Next Generation Of Smart Controllers For Electrical Energy Systemsmentioning

confidence: 99%

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

Hilairet¹,

Spagnuolo

Cirstea

2022

EEE Ind. Electron. Mag.

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Section: Next Generation Of Smart Controllers For Electrical Energy Systemsmentioning

confidence: 99%

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

Hilairet¹,

Spagnuolo

Cirstea

2022

EEE Ind. Electron. Mag.

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“…The developed PHM system could efficiently safeguard the healthy status and reliable operation of the FAST, significantly enhancing maintenance efficiency and reducing maintenance engineering costs [72] . Ye et al [73] developed a DT framework which had several different capabilities, such as fault diagnosis, model renewal, performance assessment, and data management, to track the lifetime of spacecraft architecture. Experimental results show that, with this framework, the fracture generation model can be refreshed with relatively low uncertainty.…”

Section: Predictive Maintenancementioning

confidence: 99%

“…Using the modified model, future crack growth and repeatable lifetime can be forecasted more accurately. By quantifying the structural lifetime of the spacecraft through the framework, the mission success of repeatable flights can be maximized at a lower cost [73] .…”

Section: Predictive Maintenancementioning

confidence: 99%

Developments of digital twin technologies in industrial, smart city and healthcare sectors: a survey

Yang¹,

Karimi²,

Kaynak³

et al. 2021

CES

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Digitization and digitalization have already changed our world significantly. Further disruptions are imminent with the ongoing digital transformation, a major component of which is digital twins. As the big data techniques, Internet of Things, cloud computing, and artificial intelligence algorithms advance, the digital twin technology has entered a phase of rapid development. It has been stated to be one of the top ten most promising technologies. Although it is still in its early stages, digital twins are already being widely used in a variety of fields, especially in industry, smart cities, and smart health, which are points that attract most researchers to study. In the literature, there can be seen numerous articles and reviews on digital twins, published every year in these three fields. It is therefore timely, even necessary, to provide an analysis of the published work. This is the motivation behind this article, the focus of which is the major research and application areas of digital twins. The survey first analyzes the recent developments of digital twins, then summarizes the theoretical underpinnings of the technology, and finally concludes with specific developments in various application areas of digital twins. It also discusses the challenges that may be encountered in the future.

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“…The remote real-time cost control of power grid is to realize the automatic estimation of the residual power and cost of local power system by comparing the relevant information of users with the prepayment information, and by collecting the power consumption information of the user and pushing the real-time (quasi real-time) indication information into the electric energy meter, and setting the data alarm capacity and overdraft threshold of the marketing real-time cost control system In order to complete the common data distribution loading and recovery instructions of marketing real-time cost control system [7][8][9] . At the business level, data distribution loading refines, abstracts and summarizes the core business of marketing remote real-time cost control application, forms a comprehensive data distribution loading structure view commonly used in marketing real-time cost control system, and provides important management basis for data distribution loading and data structure.…”

Section: Realization Of Common Data Distributed Loading In Marketing mentioning

confidence: 99%

Design of Common Data Distributed Loading in Marketing Real Time Cost Control System

Xu¹,

Bo²,

Yu³

et al. 2021

Proceedings of the 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021)

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Remote real-time control of cost is an important measure to improve the level of enterprise marketing management. The common data distributed design of marketing real-time cost control system is more intelligent and convenient. The distributed loading design of common data in marketing real-time cost control system can not only improve the transaction level of power companies, but also greatly improve the marketing efficiency of power companies and better serve users. In order to improve the operation effect of marketing real-time cost control system, the distributed loading of common data in marketing real-time cost control system is designed. This paper studies the application prospect of distributed loading of common data in marketing real-time cost control system, analyzes its function and influence, and puts forward optimization scheme, which provides reference for power enterprises to carry out cost control business and marketing.

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Controller-Embeddable Probabilistic Real-Time Digital Twins for Power Electronic Converter Diagnostics

Cited by 138 publications

References 16 publications

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

System-on-Chip FPGA Devices for Complex Electrical Energy Systems Control

Developments of digital twin technologies in industrial, smart city and healthcare sectors: a survey

Design of Common Data Distributed Loading in Marketing Real Time Cost Control System

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