Results 11 to 20 of about 12,066 (353)
Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model
IEEE Access, 2023 Medium voltage (MV) switchgear is a vital part of modern power systems, responsible for regulating the flow of electrical power and ensuring the safety of equipment and personnel.
Yaseen Ahmed Mohammed Alsumaidaee +9 more
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ARC Detection in DC ARC Furnaces [PDF]
, 2014 A direct-current (DC) plasma arc furnace is a type of electric furnace used for metallurgical operations. The successful operation of DC furnaces depends to a large extent on gaining a fundamental understanding of the arc phenomenon itself, and ensuring its presence in the furnace at all times.
Quinn G Reynolds +3 more
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Analysis of Abnormal Detection Data of Dissolved Gases in 500kV Transformer Oil [PDF]
E3S Web of Conferences, 2023 Transformers may experience various faults during operation. In order to analyze the cause of the fault or even predict it, electrical and chemical methods need to be used for monitoring to ensure the safe and stable operation of the transformer.
Dai Jun, Chen Bin, Wu Zhiding
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Pantograph Arc Detection of Urban Rail Based on Photoelectric Conversion Mechanism
IEEE Access, 2020 According to the solar-blind characteristic of the pantograph arc spectrum distribution, an arc detection method based on the photoelectric conversion mechanism for urban rail was proposed, and the design of each part of the arcing detection system was ...
Xiaoying Yu, Hongsheng Su
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A Novel Algorithm for Fast DC Electric Arc Detection
Energies, 2021 Electric arcing is a common problem in DC power systems. To overcome this problem, the electric arc detection algorithm has been developed as a faster alternative to existing algorithms.
Michał Dołęgowski, Mirosław Szmajda
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Multi-colour detection of gravitational arcs [PDF]
Astronomy & Astrophysics, 2014 Strong gravitational lensing provides fundamental insights into the understanding of the dark matter distribution in massive galaxies, galaxy clusters and the background cosmology. Despite their importance, the number of gravitational arcs discovered so far is small. The urge for more complete, large samples and unbiased methods of selecting candidates
Maturi, Matteo +2 more
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Naive bayes multi-label classification approach for high-voltage condition monitoring [PDF]
, 2019 This paper addresses for the first time the multilabel classification of High-Voltage (HV) discharges captured using the Electromagnetic Interference (EMI) method for HV machines.
Boreham, Philip +4 more
core +2 more sources
Detection of arcing in DC motors
1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251), 1999 Abstract This paper outlines an on-line condition-monitoring method for detecting arcing around the brush-commutator interface in DC motors. These motors are the critical components in steel-rolling mills, and tend to have excessive arcing and motor flashover under certain circumstances.
Jeffrey K.C. Cheng, Iven M.Y. Mareels
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Classification of multiple electromagnetic interference events in high-voltage power plant [PDF]
, 2018 This paper addresses condition assessment of electrical assets contained in high voltage power plants. Our work introduces a novel analysis approach of multiple event signals related to faults, and which are measured using Electro-Magnetic Interference ...
Boreham, Philip +5 more
core +2 more sources
Robust and Precise Circular Arc Detection [PDF]
, 2010 In this paper we present a method to robustly detect circular arcs in a line drawing image. The method is fast, robust and very reliable, and is capable of assessing the quality of its detection. It is based on Random Sample Consensus minimization, and uses techniques that are inspired from object tracking in image sequences.
Lamiroy, Bart, Guebbas, Yassine
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