Defining the Variables of a Remote Operation Monitoring Systems Onboard Unmanned Surface Vessels

Hakan Sel, Metin Celik

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Studies on the development of remote operation and maintenance tracking systems in USVs (Unmanned Surface Vessels) are becoming widespread. In this study, the variables are determined to conduct data acquisition as an initial stage of a statistical analysis to control on pH level of main engine cooling system onboard unmanned surface vessel. It is so critical to manage an advance statistical solution for this operational case. The numbers of 13 variables (i.e. RPM, exhaust temperature, oil pressure, etc.) are identified to construct an operational data framework. As a further research, the study will focus on collecting real-time data onboard UVS.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
Ana bilgisayar yayını alt yazısıApplying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar591-594
Sayfa sayısı4
ISBN (Elektronik)9798350399615
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022 - Virtual, Online, Indonesia
Süre: 13 Ara 202214 Ara 2022

Yayın serisi

AdıProceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

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???event.eventtypes.event.conference???6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Ülke/BölgeIndonesia
ŞehirVirtual, Online
Periyot13/12/2214/12/22

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Publisher Copyright:
© 2022 IEEE.

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