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Error correction is essential for modern computing systems, enabling information to be processed accurately even in the presence of noise. Here, we demonstrate a new approach which exploits an error correcting phase that emerges in a system…

Driven by the need to offset the variability of wind and solar generation on the electrical grid, development of load controls is a highly active field in the engineering literature. However, practical use of residential loads for grid…

Systems and Control · Electrical Eng. & Systems 2023-05-23 Drew A. Geller , Johanna L. Mathieu

A data set was recorded to evaluate different methods for extracting mathematical models for a three-phase permanent magnet synchronous motor (PMSM) and a two-level IGBT inverter from measurement data. It consists of approximately 40…

Systems and Control · Electrical Eng. & Systems 2020-03-27 Sören Hanke , Oliver Wallscheid , Joachim Böcker

Salient pole synchronous generators as the main component of an electricity generation station should be carefully maintained and their operation has to be monitored such that any damage on them is avoided. Otherwise, the generating station…

Signal Processing · Electrical Eng. & Systems 2018-04-24 Amir Negahdari

Recent studies on large language models (LLMs) and large multimodal models (LMMs) have demonstrated promising skills in various domains including science and mathematics. However, their capability in more challenging and real-world related…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Ming Li , Jike Zhong , Tianle Chen , Yuxiang Lai , Konstantinos Psounis

Safety concerns during the operation of legged robots must be addressed to enable their widespread use. Machine learning-based control methods that use model-based constraints provide promising means to improve robot safety. This study…

Robotics · Computer Science 2023-03-07 Berk Tosun , Evren Samur

Fault diagnosis in marine diesel engines is vital for maritime safety and operational efficiency.These engines are integral to marine vessels, and their reliable performance is crucial for safenavigation. Swift identification and resolution…

Machine Learning · Computer Science 2024-04-17 Ayah Youssef , Hassan Noura , Abderrahim El Amrani , El Mostafa El Adel , Mustapha Ouladsine

Fault detection in electric motors is a critical challenge in various industries, where failures can result in significant operational disruptions. This study investigates the use of Recurrent Neural Networks (RNNs) and Bayesian Neural…

Machine Learning · Computer Science 2025-02-17 Waldemar Bauer , Jerzy Baranowski

Industrial robots typically require very structured and predictable working environments, and explicit programming, in order to perform well. Therefore, expensive and time-consuming engineering work is a major obstruction when mediating…

Robotics · Computer Science 2019-05-28 Martin Karlsson

Power device reliability is a major concern during operation under extreme environments, as doing so reduces the operational lifetime of any power system or sensing infrastructure. Due to a potential for system failure, devices must be…

Machine Learning · Computer Science 2021-07-23 Carlos Olivares , Raziur Rahman , Christopher Stankus , Jade Hampton , Andrew Zedwick , Moinuddin Ahmed

Intrusion detection poses a significant challenge within expansive and persistently interconnected environments. As malicious code continues to advance and sophisticated attack methodologies proliferate, various advanced deep learning-based…

Cryptography and Security · Computer Science 2024-02-01 Thua Huynh Trong , Thanh Nguyen Hoang

Ceramic insulators are important to electronic systems, designed and installed to protect humans from the danger of high voltage electric current. However, insulators are not immortal, and natural deterioration can gradually damage them.…

Machine Learning · Computer Science 2021-03-03 Ademola Okerinde , Lior Shamir , William Hsu , Tom Theis

In contemporary times, the increasing complexity of the system poses significant challenges to the reliability, trustworthiness, and security of the SACRES. Key issues include the susceptibility to phenomena such as instantaneous voltage…

Hardware Architecture · Computer Science 2024-12-23 Enrico Magliano , Alessio Carpegna , Alessadro Savino , Stefano Di Carlo

Adaptive experimental design (AED) methods are increasingly being used in industry as a tool to boost testing throughput or reduce experimentation cost relative to traditional A/B/N testing methods. However, the behavior and guarantees of…

Machine Learning · Computer Science 2024-09-19 Tanner Fiez , Houssam Nassif , Yu-Cheng Chen , Sergio Gamez , Lalit Jain

The problem considered in this paper is the online diagnosis of Automated Production Systems with sensors and actuators delivering discrete binary signals that can be modeled as Discrete Event Systems. Even though there are numerous…

Machine Learning · Computer Science 2022-10-26 R Saddem , D Baptiste

Modern automobiles have evolved from just being mechanical machines to having full-fledged electronics systems that enhance vehicle dynamics and driver experience. However, these complex hardware and software systems, if not properly…

Human-Computer Interaction · Computer Science 2020-11-25 Arpit Narechania , Ahsan Qamar , Alex Endert

While battery aging is commonly studied at the cell-level, evaluating aging and performance within battery modules remains a critical challenge. Testing cells within fully assembled modules requires hardware solutions to access cell-level…

Systems and Control · Electrical Eng. & Systems 2026-04-06 Gabriele Marini , Alessandro Colombo , Andrea Lanubile , William A. Paxton , Simona Onori

Electromechanical relays and contactors suffer from strong collisions at the end of the switching operations. This causes several undesirable phenomena, such as clicking, mechanical wear and contact bounce. Thus, there is great interest in…

Systems and Control · Electrical Eng. & Systems 2024-05-29 Eloy Serrano-Seco , Edgar Ramirez-Laboreo , Eduardo Moya-Lasheras , Carlos Sagues

An important initial step in fault detection for complex industrial systems is gaining an understanding of their health condition. Subsequently, continuous monitoring of this health condition becomes crucial to observe its evolution, track…

Systems and Control · Electrical Eng. & Systems 2023-11-09 Chi-Ching Hsu , Gaetan Frusque , Olga Fink

Electric motors are used in many applications and their efficiency is strongly dependent on their control. Among others, PI approaches or model predictive control methods are well-known in the scientific literature and industrial practice.…

Systems and Control · Electrical Eng. & Systems 2019-10-22 Arne Traue , Gerrit Book , Wilhelm Kirchgässner , Oliver Wallscheid
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