Zobrazeno 1 - 10
of 892
pro vyhledávání: '"power transmission line"'
Publikováno v:
Alexandria Engineering Journal, Vol 102, Iss , Pp 327-338 (2024)
As a large percentage of faults in transmission lines are single-line-to-ground (SLG) and transient in nature, the use of adaptive single-phase auto-reclosing (ASPAR) schemes is essential. In this paper, a new scheme for ASPAR is proposed to improve
Externí odkaz:
https://doaj.org/article/5b92df333fb242b5bfd38491ef111070
Publikováno v:
Redai dili, Vol 44, Iss 6, Pp 1113-1126 (2024)
Typhoon gales can lead to accidents such as the breakage and collapse of transmission line towers, affecting the operational safety of power systems. Therefore, the risk assessment of transmission line towers during typhoon disasters is important. Ta
Externí odkaz:
https://doaj.org/article/ac699e1f29cf446a81cf17db5ad8cd77
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 160, Iss , Pp 110081- (2024)
Time-domain distance protection has a good transient performance and operation speed when applied to wind power transmission lines. In this paper, the error analysis and improved method of phase-to-phase time-domain distance protection are investigat
Externí odkaz:
https://doaj.org/article/94b48fc085414f3bb66bc127c7090804
Publikováno v:
Problems of the Regional Energetics, Vol 61, Iss 1, Pp 1-16 (2024)
The purpose of the work is to develop a synthesis method for the spatial and angular arrangement of magnetic field sensors in order to ensure maximum efficiency of a robust system for active shielding of the magnetic field generated by overhead power
Externí odkaz:
https://doaj.org/article/79f157248adc49ab8aebd308d96fa399
Publikováno v:
Journal of Imaging, Vol 10, Iss 11, p 287 (2024)
Line icings on the power transmission lines are dangerous risks that may lead to situations like structural damage or power outages. The current techniques used for identifying ice have certain drawbacks, particularly when used in complex environment
Externí odkaz:
https://doaj.org/article/ed21c8a4a7b74393b70d9dd1fd66484a
Publikováno v:
Бюллетень Почвенного института им. В.В. Докучаева, Vol 0, Iss 116, Pp 26-42 (2023)
Today the rate of anthropogenic transformations of the soil cover significantly exceeds the rate of its natural restoration. According to a modern digital soil map at a scale of 1 : 200,000 in the Leningrad Region anthropogenically modified subtypes
Externí odkaz:
https://doaj.org/article/d31da0f452164bd1a19209446525c8a6
Publikováno v:
Information, Vol 15, Iss 9, p 563 (2024)
High-resolution imagery captured by drones can detect critical components on high-voltage transmission towers, providing inspection personnel with essential maintenance insights and improving the efficiency of power line inspections. The high-resolut
Externí odkaz:
https://doaj.org/article/0dd8f983e01c4992a661806e889efca3
Autor:
B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, B. B. Kobylianskyi
Publikováno v:
Electrical engineering & Electromechanics, Vol 2023, Iss 4, Pp 26-34 (2023)
Aim. Development of a method for optimization of spatial arrangement and angular position of magnetic field sensors of a closed system to ensure maximum efficiency of active silencing canceling of the magnetic field generated by overhead power lines.
Externí odkaz:
https://doaj.org/article/2087256e49f04119b99a1b09613f2751
Autor:
Ntmitrii Gyrichidi, Alexey M. Romanov, Oleg V. Trofimov, Stanislav A. Eroshenko, Pavel V. Matrenin, Alexandra I. Khalyasmaa
Publikováno v:
Sensors, Vol 24, Iss 11, p 3494 (2024)
One of the key challenges in Multi-Spectral Automatic Diagnostic (MAD) robot design is the precise targeting of narrow-angle cameras on a specific part of the equipment. The paper shows that a low-cost MAD robot, whose navigation system is based on o
Externí odkaz:
https://doaj.org/article/4846fd6d8fc244518a679e8345b98aef
Publikováno v:
Measurement: Sensors, Vol 30, Iss , Pp 100908- (2023)
This paper presents a novel approach in which hyperparameter-tuned Machine Learning (ML) classifiers with Optuna is used for fault detection and classification over a power transmission line. In this paper, popular ML models Random Forest (RF), Decis
Externí odkaz:
https://doaj.org/article/defadc3a412f4a4cae325cd345c9f7d6