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<dc:title xml:lang="pl"><![CDATA[Fault prediction of pharmaceutical air compressor using the intelligent model based on the Bayesian network]]></dc:title>
<dc:creator><![CDATA[Amrani, Mohamed]]></dc:creator>
<dc:creator><![CDATA[Benazzouz, Djamel]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[pharmaceutical standard requirements]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[air compressor (oil free)]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[artificial intelligence]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[Bayesian networks]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[industrial diagnosis and prognostic]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[fault tree]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[This paper presents a new approach of diagnosis and prognostic in real-time of strategic equipment of pharmaceutical industry. This approach is developed using Bayesian network (BN) which consider industrial data and feedback experience. The objective is to detect, locate and prevent any malfunction of the air compressor (oil-free) without air contamination, dedicated to pharmaceutical industry. The study is based on the functional analysis of the air compressor to obtain the fault tree (FT). This FT is transformed into BN to diagnose automatically the compressor and prevent any malfunctioning.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Jurczak, Paweł - red.]]></dc:contributor>
<dc:date><![CDATA[2025]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:format xml:lang="pl"><![CDATA[application/pdf]]></dc:format>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/85437/Volume30_Issue2_paper_02.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/100210/edition/85437/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:85437]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[IJAME, volume 30, number 2 (2025)]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:100210]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
<dc:rights xml:lang="pl"><![CDATA[CC 4.0]]></dc:rights>
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