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Pregled bibliografske jedinice broj: 962695

Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset


Barešić, Dejan; Hederić, Željko; Hadžiselimović, Miralem
Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset // Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 25 (2018), 2; 437-443 doi:10.17559/TV-20171230222050 (međunarodna recenzija, članak, znanstveni)


Naslov
Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset

Autori
Barešić, Dejan ; Hederić, Željko ; Hadžiselimović, Miralem

Izvornik
Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku (1330-3651) 25 (2018), 2; 437-443

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

Ključne riječi
Diagnosing the operational status ; expert system ; fault detection ; genset ; maintenance optimization

Sažetak
The modelling of an expert system for diagnosing the operational status of a diesel genset represents the final stage of the research undertaken so far on military gensets. The research was undertaken in several stages on a large number of gensets, and the results obtained at specific research stages were published at scientific-expert conferences. For the purpose of modelling an expert system, a knowledge base was compiled based on detailed observation of the genset operational status, interviews with experts with many years of experience in maintaining military gensets and also on a breakdown of the occurred faults archived in the overhaul documentation.The paper uses only that one segment of the knowledge base that is necessary for modelling a simplified form of the Bayesian network for fault detection in assembled condition. In addition to input probabilities, the results of diagnostic tests and simulations carried out in the Matlab Simulink program package are also entered in the Bayesian network. Fault detection represents a complex process so the application of an expert system significantly reduces the time needed for fault detection, resulting in optimized maintenance. It is especially significant in military and similar organizations which apply a large number of technical resources. The Bayesian network is processed in the GeNIe program package.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Autor s matičnim brojem:
Željko Hederić, (209684)

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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