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Pregled bibliografske jedinice broj: 955993

Fault diagnosis and identification in the distribution network using the fuzzy expert system


Kaluđer, Slaven; Fekete, Krešimir; Jozsa, Lajos; Klaić, Zvonimir
Fault diagnosis and identification in the distribution network using the fuzzy expert system // Eksploatacja i Niezawodnosc-Maintenance and Reliability, 20 (2018), 4; 621-629 doi:10.17531/ein.2018.4.13 (međunarodna recenzija, članak, znanstveni)


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Naslov
Fault diagnosis and identification in the distribution network using the fuzzy expert system

Autori
Kaluđer, Slaven ; Fekete, Krešimir ; Jozsa, Lajos ; Klaić, Zvonimir

Izvornik
Eksploatacja i Niezawodnosc-Maintenance and Reliability (1507-2711) 20 (2018), 4; 621-629

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
fault diagnosis ; alarm processing ; fuzzy logic ; expert system ; distribution network

Sažetak
In this paper, a fuzzy expert off-line system has been developed for fault diagnosis in the distribution network based on the structural and functional operation of the relay and circuit breakers. Functional operations (correct operation, false operation and failure to operate) of the relays and circuit breakers are described by fuzzy logic. Input data for the proposed fuzzy expert fault diagnosis system (FDS) are status and time stamps of the alarms, associated with relays and circuit breakers. The diagnostic system from a huge number of alarms sets, logically organizes and quantifies the diagnosis. FDS can diagnose correct operation, false operation and failure to operate of the relays and circuit breakers. Also, it can identify and quantify fault location based on the Hamacher’s operator of a fuzzy union. The additional contribution of this paper is in modeling unknown information using linear fuzzy membership function. Statuses of certain components may be unknown due to telemetry failures or are simply unavailable to the operator and proposed FDS can make the diagnosis in such a situation. Developed fuzzy expert FDS is tested on the two examples of faults in real life distribution network.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Krešimir Fekete (autor)

Avatar Url Zvonimir Klaić (autor)

Avatar Url Slaven Kaluđer (autor)

Avatar Url Lajos Jozsa (autor)

Citiraj ovu publikaciju

Kaluđer, Slaven; Fekete, Krešimir; Jozsa, Lajos; Klaić, Zvonimir
Fault diagnosis and identification in the distribution network using the fuzzy expert system // Eksploatacja i Niezawodnosc-Maintenance and Reliability, 20 (2018), 4; 621-629 doi:10.17531/ein.2018.4.13 (međunarodna recenzija, članak, znanstveni)
Kaluđer, S., Fekete, K., Jozsa, L. & Klaić, Z. (2018) Fault diagnosis and identification in the distribution network using the fuzzy expert system. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 20 (4), 621-629 doi:10.17531/ein.2018.4.13.
@article{article, year = {2018}, pages = {621-629}, DOI = {10.17531/ein.2018.4.13}, keywords = {fault diagnosis, alarm processing, fuzzy logic, expert system, distribution network}, journal = {Eksploatacja i Niezawodnosc-Maintenance and Reliability}, doi = {10.17531/ein.2018.4.13}, volume = {20}, number = {4}, issn = {1507-2711}, title = {Fault diagnosis and identification in the distribution network using the fuzzy expert system}, keyword = {fault diagnosis, alarm processing, fuzzy logic, expert system, distribution network} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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