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Conductor galloping is the high-amplitude, low-frequency oscillation of overhead power lines due to wind. Such movements may lead to severe damages to transmission lines, and hence pose significant risks to the power system operation. In…

Signal Processing · Electrical Eng. & Systems 2019-11-13 Kui Wang , Jian Sun , Chenye Wu , Yang Yu

The wide-bandgap semiconductor 4H-silicon carbide (4H-SiC) offers a compelling combination of radiation hardness, thermal stability, and high critical electric field for particle detection in harsh environments. To compensate for the…

Power grids serve as a vital component in numerous industries, seamlessly delivering electrical energy to industrial processes and technologies, making their safe and reliable operation indispensable. However, powerlines can be hard to…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Maximilian Andreas Hoefler , Karsten Mueller , Wojciech Samek

We consider a multi-object detection problem over a sensor network (SNET) with limited range sensors. This problem complements the widely considered decentralized detection problem where all sensors observe the same object. While the…

Information Theory · Computer Science 2016-11-17 Erhan B. Ermis , Venkatesh Saligrama

Solar thermal systems (STS) present a promising avenue for low-carbon heat generation, with a well-running system providing heat at minimal cost and carbon emissions. However, STS can exhibit faults due to improper installation,…

Systems and Control · Electrical Eng. & Systems 2025-11-14 Florian Ebmeier , Nicole Ludwig , Jannik Thuemmel , Georg Martius , Volker H. Franz

Here we present a high-sensitivity, rapid, and low-cost method for methane sensing based on a nonlinear interferometer. This method utilizes signal photons generated by stimulated parametric down-conversion (ST-PDC), enabling the use of a…

Modern software systems have become increasingly complex, which makes them difficult to test and validate. Detecting software partial anomalies in complex systems at runtime can assist with handling unintended software behaviors, avoiding…

Software Engineering · Computer Science 2022-04-27 Shiyi Kong , Jun Ai , Minyan Lu , Shuguang Wang , W. Eric Wong

This paper introduces a new stochastic hybrid system (SHS) framework for contingency detection in modern power systems (MPS). The framework uses stochastic hybrid system representations in state space models to expand and facilitate…

Systems and Control · Electrical Eng. & Systems 2024-06-04 Shuo Yuan , Le Yi Wang , George Yin , Masoud H. Nazari

Robust control and maintenance of the grid relies on accurate data. Both PMUs and state estimators are prone to false data injection attacks. Thus, it is crucial to have a mechanism for fast and accurate detection of an agent maliciously…

Machine Learning · Computer Science 2014-03-10 Hanie Sedghi , Edmond Jonckheere

The increased deployment of distributed energy generation and the integration of new, large electric loads such as electric vehicles and heat pumps challenge the correct and reliable operation of low voltage distribution systems. To tackle…

Systems and Control · Electrical Eng. & Systems 2022-04-14 Alexander Hoogsteyn , Marta Vanin , Arpan Koirala , Dirk Van Hertem

This paper proposes a time-domain fault location identification method for mixed overhead-underground power distribution systems that can handle challenging fault scenarios such as sub-cycle faults, arcing faults and evolving faults. The…

Systems and Control · Electrical Eng. & Systems 2025-10-23 Ali Shakeri Kahnamouei , Saeed Lotfifard

The changes in the electric energy system toward a sustainable future are inevitable and already on the way today. This often entails a change of paradigm for the electric energy grid, for example, the switch from central to decentralized…

Systems and Control · Electrical Eng. & Systems 2023-10-10 David Fellner , Thomas I. Strasser , Wolfgang Kastner , Feizifar Behnam , Ibrahim F. Abdulhadi

In scientific machine learning, the task of identifying partial differential equations accurately from sparse and noisy data poses a significant challenge. Current sparse regression methods may identify inaccurate equations on sparse and…

Machine Learning · Computer Science 2025-04-08 Su Chen , Yi Ding , Hiroe Miyake , Xiaojun Li

Landmark recognition and matching is a critical step in many Image Navigation and Registration (INR) models for geostationary satellite services, as well as to maintain the geometric quality assessment (GQA) in the instrument data…

Computer Vision and Pattern Recognition · Computer Science 2020-12-24 Adrián Pérez-Suay , Julia Amorós-López , Luis Gómez-Chova , Jordi Muñoz-Marí , Dieter Just , Gustau Camps-Valls

Surveillance is essential for the safety of power substation. The detection of whether wearing safety helmets or not for perambulatory workers is the key component of overall intelligent surveillance system in power substation. In this…

Human-Computer Interaction · Computer Science 2018-02-02 Kang Li , Xiaoguang Zhao , Jiang Bian , Min Tan

In this paper, we present a new approach to learning cascaded classifiers for use in computing environments that involve networks of heterogeneous and resource-constrained, low-power embedded compute and sensing nodes. We present a…

Machine Learning · Statistics 2017-06-27 Hamid Dadkhahi , Benjamin M. Marlin

This work was conducted within the framework of the exploratory French project PEPR SupraFusion, which aims to advance the field of fusion energy by developing High-Temperature Superconductor (HTS)-based demonstrators capable of storing…

Superconductivity · Physics 2026-03-17 Hajar Zgour , Walid Abdel Maksoud , Bertrand Baudouy , Antoine Guinet

With increasing penetration of renewable energy and active consumers, control and management of power distribution networks has become challenging. Renewable energy sources can cause random voltage fluctuations as their output power depends…

Systems and Control · Electrical Eng. & Systems 2020-08-26 Mohammad Abujubbeh , Sai Munikoti , Balasubramaniam Natarajan

Power transmission networks physically connect the power generators to the electric consumers. Such systems extend over hundreds of kilometers. There are many components in the transmission infrastructure that require a proper inspection to…

Computer Vision and Pattern Recognition · Computer Science 2020-10-16 Arman Alahyari , Anton Hinneck , Rahim Tariverdi , David Pozo

Conveyor belts are crucial in mining operations by enabling the continuous and efficient movement of bulk materials over long distances, which directly impacts productivity. While detecting anomalies in specific conveyor belt components has…

Machine Learning · Computer Science 2025-08-19 Luciano S. Martinez-Rau , Yuxuan Zhang , Bengt Oelmann , Sebastian Bader
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