<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-0CNDIU3Q/8e2c832a-fa07-4055-afd2-e4f69a1fc039/PDF"><dcterms:extent>1068 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-0CNDIU3Q/9c0f53ef-91ec-4a51-b5c2-c00db7e15fc9/TEXT"><dcterms:extent>21 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2013-2025"><edm:begin xml:lang="en">2013</edm:begin><edm:end xml:lang="en">2025</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-0CNDIU3Q"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:SPR-XAYCFMST" /><dcterms:issued>2017</dcterms:issued><dc:creator>Barešić, Dejan</dc:creator><dc:creator>Ćorluka, Venco</dc:creator><dc:creator>Hederić, Željko</dc:creator><dc:format xml:lang="sl">letnik:10</dc:format><dc:format xml:lang="sl">številka:iss. 1</dc:format><dc:format xml:lang="sl">str. 35-45</dc:format><dc:identifier>COBISSID:1024271708</dc:identifier><dc:identifier>ISSN:1855-5748</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-0CNDIU3Q</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Fakulteta za energetiko</dc:publisher><dcterms:isPartOf xml:lang="sl">JET on-line</dcterms:isPartOf><dcterms:isPartOf xml:lang="sl">Journal of energy technology</dcterms:isPartOf><dc:subject xml:lang="en">Bayes' theorem</dc:subject><dc:subject xml:lang="sl">diagnosticiranje napak</dc:subject><dc:subject xml:lang="sl">ekspertni sistemi</dc:subject><dc:subject xml:lang="en">expert system</dc:subject><dc:subject xml:lang="en">fault diagnosis</dc:subject><dc:subject xml:lang="sl">generatorji</dc:subject><dc:subject xml:lang="en">genset</dc:subject><dcterms:temporal rdf:resource="2013-2025" /><dc:title xml:lang="sl">Optimization of maintenance of gensets using expert systems for fault diagnosis| Optimizacija vzdrževanja generatorskih enot z uporabo ekspertnega sistema za diagnosticiranje napak|</dc:title><dc:description xml:lang="sl">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</dc:description><dc:description xml:lang="sl">Uporaba ekspertnega sistema za diagnosticiranje napak v generatorskih enotah omogoča poenostavitev določitve stanja posamezne enote in morebitno diagnostiko napak. Rezultati optimizacije vzdrževanja v servisnih delavnicah so izredno pomembni v vojaških sistemih, kjer je potrebno ohranjati nenehno večje število naprav v stanju pripravljenosti. Ekspertni sistem temelji na podatkovni bazi znanj, ki je pridobljena preko zbiranja podatkov iz večjega števila opravljenih preizkusov in izkušenj strokovnjakov z večletnimi izkušnjami s področja diagnostike generatorskih enot. Predlagan ekspertni sistem pri vzdrževanju naprav izvede pregled seznama najpogostejših napak in samodejno izvede diagnostiko z določeno verjetnostjo. Obdelava zbranih podatkov poteka po Bayes-ovi metodi, ki temelji na klasični teoriji verjetnosti. Za določitev možnosti napake na podlagi zbranih dejstev se izvede izračun dejanskih vrednosti, kar omogoča nadgradnjo ekspertnega sistema z nadaljnjimi raziskavami</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-0CNDIU3Q"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-0CNDIU3Q" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-0CNDIU3Q/8e2c832a-fa07-4055-afd2-e4f69a1fc039/PDF" /><edm:rights rdf:resource="http://rightsstatements.org/vocab/InC/1.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Mariboru, Fakulteta za energetiko</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-0CNDIU3Q/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-0CNDIU3Q" /></ore:Aggregation></rdf:RDF>