Zobrazeno 1 - 10
of 408
pro vyhledávání: '"remote diagnostics"'
Autor:
Tetiana Soloviova, Marwa Mahmood Younis, Bassam H. Habib, Manar Adnan Nassrat Al-Ubaidi, Samer Saeed Issa, Yaser Issam Hamodi Aljanabi, Moamin Ibrahim Jameel Al-Obaidi
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 445-459 (2024)
Background: The adoption of sixth generation (6G) networks is expected to revolutionize various sectors like health care by providing unprecedented data transfer capabilities and reliability. This transition is particularly applicable to real-time he
Externí odkaz:
https://doaj.org/article/2ecac120ff9948f8825ac253665731e2
Publikováno v:
Frontiers in Signal Processing, Vol 4 (2024)
IntroductionKnee osteoarthritis (KOA) is a major health issue affecting millions worldwide. This study employs machine learning algorithms to analyze human gait using kinematic data, aiming to enhance the diagnosis and detection of KOA. By adopting t
Externí odkaz:
https://doaj.org/article/1c5b25ab3c0449f2af114b894cfd342d
Autor:
D. A. Ivanov
Publikováno v:
Известия высших учебных заведений: Проблемы энергетики, Vol 24, Iss 2, Pp 132-146 (2022)
The article is aimed to discuss the results of research on the characteristics of partial discharges on defects of different types in high-voltage insulators - on dielectric rod and contact «terminal rod». The atypical characteristics of partial di
Externí odkaz:
https://doaj.org/article/5cf54b07d8554b53b2eb8182567d2e88
Autor:
D. A. Ivanov
Publikováno v:
Известия высших учебных заведений: Проблемы энергетики, Vol 24, Iss 1, Pp 151-163 (2022)
THE PURPOSE of the described study is to study the effect of partial discharges on the physical state of previously detected defects in high-voltage insulators. The article describes the results obtained by a complex of non-contact methods for remote
Externí odkaz:
https://doaj.org/article/073b5b316de042b3b3ca07012c81c722
Autor:
A. V. Golenishchev-Kutuzov, L. V. Akhmetvaleeva, G. R. Enikeeva, D. A. Ivanov, A. V. Semennikov, G. D. Mardanov
Publikováno v:
Известия высших учебных заведений: Проблемы энергетики, Vol 22, Iss 2, Pp 117-127 (2020)
On the basis of the two-channel remote measurement method previously developed at the Department of PES KGEU, a set of characteristics of the PD with the simultaneous use of electromagnetic and acoustic sensors, which allows you to remotely measure a
Externí odkaz:
https://doaj.org/article/e036b169245f40188b6961abf41ed0e7
Akademický článek
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Autor:
Attila Biró, Katalin Tünde Jánosi-Rancz, László Szilágyi, Antonio Ignacio Cuesta-Vargas, Jaime Martín-Martín, Sándor Miklós Szilágyi
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5977 (2022)
Real-time multilingual phrase detection from/during online video presentations—to support instant remote diagnostics—requires near real-time visual (textual) object detection and preprocessing for further analysis. Connecting remote specialists a
Externí odkaz:
https://doaj.org/article/d8a00a8ce83645ac87b0027b93f525fd
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Известия высших учебных заведений: Проблемы энергетики, Vol 20, Iss 3-4, Pp 99-107 (2018)
A survey of the technical condition of porcelain high-voltage insulators (IEE 110/400 type) was carried out at two substations of JSC «Grid Company «Kazan electric networks», using the previously developed method of two-channel remote control. Bas
Externí odkaz:
https://doaj.org/article/beffea2bafe848e0bf496fa7b48afa17
Autor:
A. V. Golenishchev-Kutuzov, V. A. Golenishchev-Kutuzov, D. A. Ivanov, G. D. Mardanov, R. A. Husnutdinov, I. A. Evdokimov
Publikováno v:
Известия высших учебных заведений: Проблемы энергетики, Vol 0, Iss 5-6, Pp 87-93 (2017)
With the help of the developed two-channel method for remote control of high-voltage insulators have been studied peculiarities of characteristics of partial discharges (PD) for determining a working condition of insulators under high voltage. Theref
Externí odkaz:
https://doaj.org/article/c65e398aae03461db776b80f0debc2f9