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https://doi.org/10.17559/TV-20171230222050

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

Dejan Barešić   ORCID icon orcid.org/0000-0003-1820-3036 ; Croatian Military Academy "Dr. Franjo Tuđman", Ilica 256b, 10000 Zagreb, Croatia
Željko Hederić   ORCID icon orcid.org/0000-0001-7265-0932 ; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology, Ul. kneza Trpimira 2B, 31000 Osijek, Croatia
Miralem Hadžiselimović ; University of Maribor, Faculty of Energy Technology, Hočevarjev trg 1, 8270 Krško, Slovenia

Puni tekst: engleski, pdf (1 MB) str. 437-443 preuzimanja: 133* citiraj
APA 6th Edition
Barešić, D., Hederić, Ž. i Hadžiselimović, M. (2018). Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset. Tehnički vjesnik, 25 (Supplement 2), 437-443. https://doi.org/10.17559/TV-20171230222050
MLA 8th Edition
Barešić, Dejan, et al. "Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset." Tehnički vjesnik, vol. 25, br. Supplement 2, 2018, str. 437-443. https://doi.org/10.17559/TV-20171230222050. Citirano 14.11.2019.
Chicago 17th Edition
Barešić, Dejan, Željko Hederić i Miralem Hadžiselimović. "Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset." Tehnički vjesnik 25, br. Supplement 2 (2018): 437-443. https://doi.org/10.17559/TV-20171230222050
Harvard
Barešić, D., Hederić, Ž., i Hadžiselimović, M. (2018). 'Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset', Tehnički vjesnik, 25(Supplement 2), str. 437-443. https://doi.org/10.17559/TV-20171230222050
Vancouver
Barešić D, Hederić Ž, Hadžiselimović M. Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset. Tehnički vjesnik [Internet]. 2018 [pristupljeno 14.11.2019.];25(Supplement 2):437-443. https://doi.org/10.17559/TV-20171230222050
IEEE
D. Barešić, Ž. Hederić i M. Hadžiselimović, "Modelling of an Expert System for Diagnosing the Operational Status of a Diesel Genset", Tehnički vjesnik, vol.25, br. Supplement 2, str. 437-443, 2018. [Online]. https://doi.org/10.17559/TV-20171230222050

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.

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

Hrčak ID: 205941

URI
https://hrcak.srce.hr/205941

Posjeta: 239 *