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Pregled bibliografske jedinice broj: 934111

Časopis

Autori: Hederić, Željko; Barešić, Dejan; Ćorluka, Venco
Naslov: Optimization of Maintenance of Gensets Using Expert Systems for Fault Diagnosis
Izvornik: Journal of energy technology (1855-5748) 10 (2017), 1; 35-45
Vrsta rada: članak
Ključne riječi: Bayes’ theorem ; fault diagnosis ; genset ; expert system
Sažetak:
The usage of expert systems simplifies the determination of the technological condition of the genset, i.e. the fault diagnosis. This results in the optimization of maintenance in technical workshops, which particularly comes into play in military systems in which a great number of technical resources must be maintained. The expert system is based on the “Knowledge Base”, obtained by researching and collecting data from professionals who have years of experience in the maintenance of electric generators. The Knowledge Base is made to list the most common faults first ; then the hypotheses are associated with a certain probability. The processing of collected information is carried out according to Bayes’ method, which is based on the classical probability theory. In order to decide upon a failure happening within the context of certain facts, a calculation of true values is carried out, which will help in developing an ideal diagnostic program during further research.
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika
URL Internet adrese: http://www.fe.um.si/images/jet/Volume10_Issue1_Paper3.pdf
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Optimization of Maintenance of Gensets Using Expert Systems for Fault Diagnosis
Upisao u CROSBI: Željko Hederić (Zeljko.Hederic@etfos.hr), 11. Tra. 2018. u 11:20 sati



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