<?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-4JN55LX9/b023791a-c207-40c0-a0cb-e3120e7651ba/PDF"><dcterms:extent>1476 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-4JN55LX9/145650aa-317e-4c50-a1a4-29aa8881a770/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="1999-2025"><edm:begin xml:lang="en">1999</edm:begin><edm:end xml:lang="en">2025</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:doc-4JN55LX9"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-6QOUKQ9A" /><dcterms:issued>2022</dcterms:issued><dc:creator>Gharib, Hla</dc:creator><dc:creator>Kovács, György</dc:creator><dc:format xml:lang="sl">številka:10</dc:format><dc:format xml:lang="sl">letnik:68</dc:format><dc:format xml:lang="sl">str. 642-653</dc:format><dc:identifier>ISSN:0039-2480</dc:identifier><dc:identifier>DOI:10.5545/sv-jme.2022.298</dc:identifier><dc:identifier>COBISSID_HOST:130466051</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-4JN55LX9</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Zveza strojnih inženirjev in tehnikov Slovenije etc.</dc:publisher><dcterms:isPartOf xml:lang="sl">Strojniški vestnik</dcterms:isPartOf><dc:subject xml:lang="en">case study</dc:subject><dc:subject xml:lang="en">diagnostic parameters</dc:subject><dc:subject xml:lang="sl">diagnostični parametri</dc:subject><dc:subject xml:lang="en">maintenance</dc:subject><dc:subject xml:lang="en">marine engines</dc:subject><dc:subject xml:lang="sl">motorji za plovila</dc:subject><dc:subject xml:lang="en">newly developed diagnosis expert system</dc:subject><dc:subject xml:lang="sl">nov diagnostični ekspertni sistem</dc:subject><dc:subject xml:lang="sl">študija primera</dc:subject><dc:subject xml:lang="sl">vzdrževanje</dc:subject><dcterms:temporal rdf:resource="1999-2025" /><dc:title xml:lang="sl">Development of a new expert system for diagnosing marine diesel engines based on real-time diagnostic parameters|</dc:title><dc:description xml:lang="sl">Implementing adequate diagnostic strategies for marine engines offers a good possibility to focus on the early recognition of potentialproblems and prevent catastrophic and costly consequences. The successful and increasing application of diagnostic systems and devices for machines depends significantly on the precision of the diagnostic approaches. This research aims to develop an improved diagnosis expert system for determining the real-time technical condition of marine diesel engines. The adequate selection of the diagnostic parameters is crucial in detecting early-stage defects and failures since each parameter responds to the changes in structural parameters of the engine in different modes and degrees. This result provides valuable information on the accurate location of the fault and describes the relationship between operational and structural parameters. Firstly, this article introduces the relevant literature relating to the selection of the diagnostic parameters for marine engines and their subsystems through different statistical methods. The next part contains the description of marine diesel engine subsystems and the selected marine diesel engine’s diagnostic parameters. After that, a newly developed expert system for diagnosing marine diesel engines’ technical conditions is introduced. Finally, a case study of the operation of the developed diagnostic system is presented. The main contribution of the article is the introduction of the newly developed diagnosis expert system, which can be offered to inexperienced users on ships to effectively manage abnormal situations. Furthermore, this diagnostic tool can be applied to the engines’ subsystems to improve the reliability and efficiency of the marine diesel engines’ operation and maintenance</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-4JN55LX9"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:doc-4JN55LX9" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:doc-4JN55LX9/b023791a-c207-40c0-a0cb-e3120e7651ba/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 Ljubljani, Fakulteta za strojništvo</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:doc-4JN55LX9/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:doc-4JN55LX9" /></ore:Aggregation></rdf:RDF>