Pregled bibliografske jedinice broj: 1010975
Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey
Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey // IEEE access, 7 (2019), 1; 83915-83931 doi:10.1109/ACCESS.2019.2923809 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1010975 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey
Autori
Secic, Adnan ; Krpan, Matej ; Kuzle, Igor
Izvornik
IEEE access (2169-3536) 7
(2019), 1;
83915-83931
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Power transformers ; power system faults ; power system reliability ; fault diagnosis ; maintenance ; acoustic emission ; acoustic signal processing ; acoustic measurements ; acoustic sensors ; vibrations
Sažetak
It has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. Then, we review and categorize works related to the acoustic condition assessment of power transformers considering both: feature extraction in the time, frequency, time-frequency domain, and mathematical modeling and system identification of dynamic systems.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
HRZZ-PAR-2017-02-2 - Integracija vjetroelektrana u elektroenergetski sustav sa smanjenom tromosti
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi www.researchgate.net ieeexplore.ieee.orgCitiraj 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