Zobrazeno 1 - 10
of 372
pro vyhledávání: '"electrical fault detection"'
Autor:
M. Skowron
Publikováno v:
IEEE Access, Vol 12, Pp 135372-135389 (2024)
Automatic fault detection is currently combined with deep networks owing to the possibility of dispensing signal processing, which significantly accelerates reactions to faults. Changing the type of defect or object forces repetition of the network l
Externí odkaz:
https://doaj.org/article/456d5cb91e424907a149b3514cbaf22c
Autor:
Ganesh D. Shingade, Sweta Shah
Publikováno v:
Tehnički Glasnik, Vol 18, Iss 2, Pp 183-190 (2024)
This research paper presents a proposed system for fault identification, classification and location in transmission lines using a Support Vector Machine (SVM)-based technique in conjunction with a Positive Sequence Analyzer. The objective is to deve
Externí odkaz:
https://doaj.org/article/07fa6f09446a419787976fce257baab3
Publikováno v:
IEEE Access, Vol 12, Pp 45530-45542 (2024)
Arc fault detection devices are mandatory worldwide for mitigating DC series arc faults in photovoltaic systems. However, they are prone to nuisance tripping. Artificial intelligence-based approaches can be a solution, but they are “black boxes”
Externí odkaz:
https://doaj.org/article/492f8cc3387549e391e64b35cd44062c
Autor:
Biju G. M., G. N. Pillai
Publikováno v:
IEEE Access, Vol 11, Pp 123688-123704 (2023)
The reliability of the model significantly affects early detection and accurate classification of electrical faults. In this study, a Long Short Term Memory based fault classification model was developed for the Power System Machine Learning benchmar
Externí odkaz:
https://doaj.org/article/fb68a0e3a19f47929e3dcffe62f5bb91
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1394-1411 (2022)
Traditional electricity infrastructure inspections usually have high costs, risks and it takes a long time for specialized personnel to carry them out. Additionally, they also involve scaffolding risks, that lead to a high accident rate in most elect
Externí odkaz:
https://doaj.org/article/1247ce967e3343afb6941189d9304e5b
Autor:
Ganesh Shingade, Sweta Shah
Publikováno v:
AiBi Revista de Investigación, Administración e Ingeniería, Vol 11, Iss 3 (2023)
Transmission lines are an imperative element of the modern power systems. Any faults in them can cause an undesirable interruption in power supply. Precise analysis of these faults is important in-order to ensure an incessant supply of power. For thi
Externí odkaz:
https://doaj.org/article/c891e2827e08452aa1473022d099ed82
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 10, Pp 54751-54763 (2022)
The traditional manual periodic screening method of grading electrode sediments is prone to cause the equipment failure of high voltage direct current converter valves. Therefore, we propose to use ultrasonic time-domain reflection method to detect t
Externí odkaz:
https://doaj.org/article/5ed0a44c2aa14b7490390232f226d070
Publikováno v:
IEEE Access, Vol 9, Pp 15259-15270 (2021)
This paper proposes a non-contact method for fault location in transmission lines, which is based on magnetic fields produced by current signals measured using magnetoresistive sensors installed only at transmission line terminals, under the phase co
Externí odkaz:
https://doaj.org/article/ecdeabf454704441a1b13213a6adccba