Pregled bibliografske jedinice broj: 1225149
Switchgear Digitalization—Research Path, Status, and Future Work
Switchgear Digitalization—Research Path, Status, and Future Work // Sensors, 22 (2022), 20; 7922, 15 doi:10.3390/s22207922 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1225149 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Switchgear Digitalization—Research Path, Status, and
Future Work
Autori
Kaštelan, Nediljko ; Vujović, Igor ; Krčum, Maja ; Assani, Nur
Izvornik
Sensors (1424-8220) 22
(2022), 20;
7922, 15
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
switchgear digitalization ; preventive maintenance ; condition monitoring ; data-driven maintenance
Sažetak
To keep pace with global energy efficiency trends and, in particular, emission reduction targets in the maritime sector, both onshore and maritime power distribution systems need to be adapted to the relevant new technologies and concepts. As an important link in the distribution chain, medium- voltage switchgear (MV) is expected to be stable and reliable while operating as efficiently as possible. Failures of MV equipment, while rare because the equipment must be safe to handle and use, have far-reaching consequences. The consequences of such failures, whether to the shore or marine power system, present risks to the entire power plant, so an accurate assessment of equipment condition is required to identify potential failures early. The solution is an emerging concept of digital switchgear, where the implementation of sensor technology and communication protocols enables effective condition monitoring, and the creation of a database that, when combined with machine learning algorithms, enables predictive maintenance and/or fault detection. This paper presents, step by step, the previous challenges, the current research (divided into predictive maintenance, condition monitoring, and fault detection categories), and the future directions in this field. The use of artificial intelligence is discussed to eliminate the disadvantage of manually interpreting operational data, and recommendations for future work are formulated, such as the need to standardize test procedures and data sets to train and compare different algorithms before they are used in practice.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
EK-EFRR-KK.01.2.2.03.022 - Centar kompetencija za naprednu mobilnost (Vulić, Nenad; Jurić, Zdeslav; Krčum, Maja; Trogrlić, Boris; Jasak, Hrvoje; Soldo, Vladimir; Slapničar, Vedran; Rudan, Smiljko; Garašić, Ivica; Kožuh, Zoran; Smoljan, Darko; Lozina, Željan; Blagojević, Branko; Ljubenkov, Boris; Krstulović-Opara, Lovre; Bonković, Mirjana; Radić, Joško; Klarin, Branko; Marasović, Ivan, EK - Podrška razvoju Centara kompetencija, referentna oznaka: KK.01.2.2.03.) ( CroRIS)
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
- MEDLINE