Pregled bibliografske jedinice broj: 934111
Optimization of Maintenance of Gensets Using Expert Systems for Fault Diagnosis
Optimization of Maintenance of Gensets Using Expert Systems for Fault Diagnosis // Journal of energy technology, 10 (2017), 1; 35-45 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 934111 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization of Maintenance of Gensets Using Expert Systems for Fault Diagnosis
Autori
Hederić, Željko ; Barešić, Dejan ; Ćorluka, Venco
Izvornik
Journal of energy technology (1855-5748) 10
(2017), 1;
35-45
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
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
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek,
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