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Artificial Intelligence Techniques With Digital Twin for Fault Diagnosis in Interconnected systems: A Review

IEEE Access 2025年 13卷 91860-91874页

作者： Imen Nakti Majdi Mansouri Rami Al-Hmouz Atef Khedher Laboratory of Advanced Technology and Intelligent Systems ENISO University of Sousse Sousse Tunisia Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Muscat Oman

As industrial systems become more complex and interconnected, diagnosing faults accurately and in real time has become increasingly challenging. This paper explores how combining artificial intelligence with digital twin technology can address these challenges. We focus on developing hybrid Artificial intelligence models that leverage diverse data sources to enhance fault detection and diagnosis, enabling secure and distributed diagnostics. Digital twins, virtual models of physical systems, are shown to enhance predictive maintenance and decision-making by providing real-time system insights. What sets our work apart is the way we integrate these technologies to create scalable, adaptive, and context-aware diagnostic solutions. We demonstrate the potential of this approach across applications such as smart grids, manufacturing, and autonomous systems. Our goal is to provide researchers and practitioners with a practical and forward-looking framework for developing intelligent, reliable fault diagnosis systems in today’s data-rich industrial environments.

关键词： Artificial intelligence Real-time systems Sensors Fault detection Fault diagnosis Interconnected systems Intelligent sensors Smart grids Digital twins Adaptation models

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electrical Conductivity Measurement of Dielectric Materials at Cryogenic Temperatures

Electrical Conductivity Measurement of Dielectric Materials ...

引用

electrical Insulation Conference and electrical Manufacturing & Coil Winding Conference

作者： Arup Kumar Das Nagaraju Guvvala Sastry Pamidi Peter Cheetham Electrical and Computer Engineering Department FAMU-FSU College of Engineering and The Center for Advanced Power Systems Tallahassee USA

ISBN: (数字)9798350360431

ISBN: (纸本)9798350360448

The design and fabrication of a new experimental setup for measuring the electrical conductivity of electrical insulation materials at 77 K is reported. The design followed the ASTM D257. The apparatus was validated by comparing the measured data at room temperature with that of a commercial conductivity cell. The setup is useful for measurements in liquid nitrogen and gaseous helium environments, typical for superconducting devices. It was observed that the electrical conductivity of the insulating material is significantly lower at 77 K compared to the room temperature values. The measurement medium did not affect the electrical conductivity except for the PPLP samples impregnated with liquid nitrogen. The established setup is useful for generating fundamental data necessary to analyze the DC electric field of superconducting power devices operating at cryogenic temperatures on electric ships, electric aircraft, and in nuclear fusion power plants.

关键词： Superconducting devices Insulation Temperature distribution Liquid nitrogen Conductivity Conductivity measurement Fusion reactors

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Chip-scale spontaneous quasi-phase matched second harmonic generation in a micro-racetrack resonator

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Science China(Physics,Mechanics & Astronomy) 2023年第8期66卷 66-74页

作者： Tingge Yuan Jiangwei Wu Yi'an Liu Xiongshuo Yan Haowei Jiang Hao Li Zhaokang Liang Qiang Lin Yuping Chen Xianfeng Chen State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy.Shanghai Jiao Tong UniversityShanghai 200240China Collaborative Innovation Center of Light Manipulations and Applications Shandong Normal UniversityJinan 250358China Department of Electrical and Computer Engineering University of RochesterNew York 14627USA

In this paper,we demonstrate efficient spontaneous quasi-phase matched(SQPM)second harmonic generation(SHG)in a microracetrack resonator on X-cut thin film lithium *** approach does not involve poling,but exploits the anisotropy of the crystals to allow the phase-matching condition to be fulfilled spontaneously as the TE-polarized light circulates in a specifically designed racetrack *** experiment,normalized on-chip conversion efficiencies of 1.01×10-4/W and 0.43×10-4/W are achieved by 37th-order and 111th-order SQPM,*** configurable SQPM will benefit the application of nonlinear frequency conversion and quantum source generation in chip-scale integrated photonics compatible with standard CMOS fabrication processes.

关键词： lithium niobate on insulator quasi-phase matching second harmonic generation

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Recurrent Graph Neural Network-Based Identification of Replay Attacks in Power Networks 4

Recurrent Graph Neural Network-Based Identification of Repla...

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4th International Conference on electrical, computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Joad, Faaiz Atat, Rachad Mbayed, Hayat Takiddin, Abdulrahman Florida State University Dept. of Electrical & Computer Engineering TallahasseeFL United States Lebanese American University Computer Science Department Beirut Lebanon Florida State University Center for Advanced Power Systems TallahasseeFL United States

ISBN: (纸本)9798350391183

As cyber-physical systems, power networks exchange data to ensure smooth operation. Through communication networks, the exchanged data becomes vulnerable to cyberattacks where malicious entities establish malevolent connections to falsify the data, which exploit the data integrity, leading to network instability. Machine learning-based solutions have been proposed to identify such malevolent actions, including false data injection attacks. This paper aims to (a) enhance the attack detection performance and (b) quantify the performance of non-recurrent and recurrent machine learning-based attack detection systems against multiple replay attacks that involve falsifying data via presenting normal operation patterns from previous timestamps. It turns out that capturing temporal aspects from the data using recurrent models outperforms non-recurrent models by 5-32% in accuracy (ACC). Specifically, we propose a recurrent graph neural network (RGNN) model that captures the temporal and spatial aspects of the network data. The RGNN model outperforms non-recurrent models by 14-32% and other recurrent models by 6-13% in ACC. The experiments are conducted on IEEE 14, 39, and 118-bus power networks where the model performance is enhanced (by up to 8% in ACC) in larger systems due to capturing more spatial and temporal features. © 2024 IEEE.

关键词： Cyber attacks

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Fault-Ride-Through (FRT) Control of a grid-connected Fixed-Speed Wind Energy Conversion System using STATCOM

Fault-Ride-Through (FRT) Control of a grid-connected Fixed-S...

引用

Annual Conference of Industrial Electronics Society

作者： Ayobami Olajube Satish Vedula Koto Omiloli Olugbenga Moses Anubi Department of Electrical and Computer Engineering FAMU-FSU College of Engineering Center for Advanced Power Systems Florida State University

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

Wind energy conversion system (WECS) is stochastic in nature and has low inertia leading to grid voltage instability, poor reactive power compensation and most importantly fault susceptibility. Variable speed WECS such as the doubly-fed induction generators (DFIG) are well known to reach steady state quickly after fault occurrence without the need for an external reactive power source because of the presence of a back-to-back converter that provides independent control of the active and reactive power unlike in the fixed-speed squirrel cage induction generator (SCIG) counterpart that can’t be stabilized unless an external source of reactive power support is present. However, controlling DFIG is complicated and costly due to complete tripping unlike the fixed-speed generators which doesn’t trip completely when fault occurs. Hence, in this work, a 48-pulse, 3-phase static synchronous compensator (STATCOM) is used to ensure reactive power compensation and fault-ride through (FRT) control of the SCIG against over-voltage emanating from fault occurrence in a grid-connected power system. The goal here is to guarantee voltage stability and fault-ride-through (FRT) control against injected faults within certain time ranges at the point of common coupling (PCC) between the AC source, the load, and the fixed-speed WECS. The numerical simulation shows the fault-ride-through capability of the STATCOM-controlled fixed-speed WECS, good voltage regulation and effective reactive power compensation.

关键词： Reactive power Codes Doubly fed induction generators Power system stability Transformers Automatic voltage control Stability analysis Steady-state Wind energy conversion Numerical stability

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Evaluation of Additively Manufactured Electrostatic Discharge Materials

Evaluation of Additively Manufactured Electrostatic Discharg...

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electrical Insulation Conference and electrical Manufacturing & Coil Winding Conference

作者： Cameron Hall Jayson Francis Arup Kumar Das Nagaraju Guvaala Shonda Bernadin Sastry Pamidi Peter Cheetham Electrical and Computer Engineering Department FAMU-FSU College of Engineering Tallahassee USA The Center for Advanced Power Systems Tallahassee USA

ISBN: (数字)9798350360431

ISBN: (纸本)9798350360448

Advancements in additive manufacturing has enabled new engineering materials including those with electrostatic dissipative (ESD) properties. ESD properties are required for sensitive electrical equipment as well as with the storage of flammable and explosive materials. This paper investigates the electrical, thermal, and mechanical properties of a ESD resin which can be utilized with the Stereolithography (SLA) additive manufacturing technique. The paper contains data on the dielectric strength, volume and surface resistivity, dynamic mechanical analysis, and thermogravimetric analysis. Variation in dielectric strength, surface and volume resistivity were observed based on the printing orientation of the sample. Commentary is also provided on how the SLA ESD resin could be utilized to fabricate custom ESD compliant signal feedthroughs.

关键词： Temperature measurement Resistance Electrostatic measurements Conductivity Electrostatic discharges Three-dimensional printing Mechanical factors

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Decentralized Droop-based Finite-Control-Set Model Predictive Control of Inverter-based Resources in Islanded AC Microgrid

arXiv

引用

arXiv 2024年

作者： Olajube, Ayobami Omiloli, Koto Vedula, Satish Anubi, Olugbenga M. Department of Electrical and Computer Engineering The Center for Advanced Power Systems Florida State University United States

This paper presents an improved droop control method to ensure effective power sharing, voltage regulation, and frequency stabilization of inverter-based resources (IBRs) connected in parallel in an islanded AC microgrid. In the contemporary droop control algorithm, the distance between connected inverters affects the effectiveness of the active power-frequency and the reactive power-voltage droop characteristics which results in poor power sharing at the primary level of the microgrid. That is, high impedance emanating from long transmission lines results in instability, poor voltage tracking, and ineffective frequency regulation. Hence, in this work, we use a finite-control-set model predictive controller (FCS-MPC) in the inner loop, which gives efficient voltage tracking, good frequency regulation, and faster performance response. FCS-MPC is easy to implement in fast switching converters and does not suffer from computational burden unlike the continuous-set MPC and is also devoid of issues of multiple-loop, parameter variation, and slow response associated with conventional droop control methods. We derived the condition for bounded stability for the FCS-MPC and the proposed method is tested via a numerical simulation on three IBRs. The results show effective power sharing, capacitor voltage tracking, and efficient frequency regulation with reduced oscillations to changes in load. © 2024, CC BY.

关键词： Model predictive control

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Accelerating Deep Neural Networks with a Low-Cost Lossless Compression

Accelerating Deep Neural Networks with a Low-Cost Lossless C...

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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025

作者： Kim, Seongwook Byeon, Gwangeun Lee, Seungeui Bae, Youngseok Hong, Seokin Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Advanced R&D Center Hanwha Systems Co. Ltd. Korea Republic of Agency for Defense Development Emerging Science and Technology Directorate Korea Republic of

ISBN: (纸本)9798331510756

Since deep learning inference involves a significant amount of computations, there have been a lot of efforts to accelerate the inference process by eliminating ineffectual compu-tations. As a solution to this problem, several sparsity-aware deep learning accelerators have been proposed. These accelerators perform the inference on compressed data (filters and feature maps) and dynamically remove the ineffectual multiplications with zero operands. For efficiently handling the compressed data on the accelerators, a simple and effective compression scheme, which encodes the whole data with its nonzero values and their positions, is necessary. However, prior approaches have several shortcomings, such as low compression efficiency and high complexity in compression and decompression hardware. This paper proposes a low-cost compression scheme that can be applied to sparsity-aware deep-learning accelerators. The compression scheme synergistically combines two low-cost compression schemes: Zero-Value Compression (ZVC) and Base-Delta-Immediate Compression (BDI). Our experimental evaluation shows that the proposed compression scheme achieves an average compression ratio of 2.26, resulting in 2.33x performance improvement, © 2025 IEEE.

关键词： Data handling

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Fault-Ride-Through (FRT) Control of a grid-connected Fixed-Speed Wind Energy Conversion System using STATCOM

arXiv

引用

arXiv 2024年

作者： Olajube, Ayobami Vedula, Satish Omiloli, Koto Anubi, Olugbenga Moses Department of Electrical and Computer Engineering FAMU-FSU College of Engineering Center for Advanced Power Systems Florida State University United States

关键词： Static synchronous compensators

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Autonomous Multi-Robot Allocation and Formation Control for Remote Sensing in Environmental Exploration

Autonomous Multi-Robot Allocation and Formation Control for ...

引用

Autonomous systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023

作者： Sellers, Timothy Lei, Tingjun Rogers, Huston Carruth, Daniel W. Luo, Chaomin Department of Electrical and Computer Engineering Mississippi State University Mississippi StateMS39762 United States Center for Advanced Vehicular Systems Mississippi State University StarkvilleMS39759 United States

ISBN: (数字)9781510661974

ISBN: (纸本)9781510661967

Multi-robot systems have distinct advantages over single-robot systems in terms of operating speed, dependability, and efficiency. They are commonly used for a variety of environmental exploration applications in conjunction with remote sensing. In this paper, a self-organizing map (SOM) neural network algorithm is developed for multirobot task allocation and formation control. Multi-robot task allocation involves controlling a swarm of mobile robots to achieve designated task locations with cooperation and coordination of each robot. This framework is applicable to autonomous remote sensing by a swarm of robots, improving the efficiency and reliability of remote sensing in large environmental exploration areas. In addition to global task allocation, it is also important to control the formation of multi-robots. Each robot has a moving speed, and its field of view describes the visual range perpendicular to the direction of movement. The proposed framework utilizes a particle swarm optimization algorithm to generate the shortest planned trajectory for the multi-robot system. Additionally, a path smoothing technique is used to reduce the overall path and stress on the robots. The simulation studies validate the effectiveness of the SOM-based task allocation and formation control. It can deal with complicated cases such as that the formation changes its geometrical shape to adapt to the new environment in exploration. © 2023 SPIE. All rights reserved.

关键词： Self organizing maps

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