Pregled bibliografske jedinice broj: 1207926
Ship’s Digital Twin—A Review of Modelling Challenges and Applications
Ship’s Digital Twin—A Review of Modelling Challenges and Applications // Applied Sciences, 12 (2022), 12; 6039, 15 doi:10.3390/app12126039 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1207926 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Ship’s Digital Twin—A Review of Modelling Challenges and Applications
Autori
Assani, Nur ; Matić, Petar ; Katalinić, Marko
Izvornik
Applied Sciences (2076-3417) 12
(2022), 12;
6039, 15
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
ship ; digital twin ; development procedure ; modelling methods ; applications ; review analysis
Sažetak
Ship’s Digital twin (SDT) is a digital record of ship’s behaviour or a software clone, which can be used to simulate the scenarios that are expensive or hardly feasible to perform on a real object and especially in real time. The purpose of the SDT is to achieve cost reduction, obtain timely warnings of irregularities and optimize individual ship’s systems performances or the operation of the whole ship and to assist ship management. The aim of this paper is to describe the concept of the SDT and clarify some perplexities that may occur from initial introduction to the concept. To that end, the paper tends to identify the steps in the SDT formulation process and methods used in each step of the process. Furthermore, a four-step iterative procedure for the SDT devel-opment is proposed. The applications of the concept are numerous, and some of them are pre-sented in a review analysis in this paper. Presented analysis leads to conclusion that should give some direction to the future research in this area.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja, Elektrotehnika, Tehnologija prometa i transport, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Pomorski fakultet, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus