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		<identifier>oai:zbc.uz.zgora.pl:58187</identifier>
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<dc:title xml:lang="pl"><![CDATA[Neural network evaluation of model-based residuals in fault detection of time delay systems]]></dc:title>
<dc:creator><![CDATA[Zítek, Pavel]]></dc:creator>
<dc:creator><![CDATA[Mánková, Renata]]></dc:creator>
<dc:creator><![CDATA[Hlava, Jaroslav]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[model-based fault detection]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[anisochronic model]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[state observer]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[internal model control]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[artificial neural networks]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Model-based fault detection becomes rather questionable if a supervised plant belongs to the class of systems with distributed parameters and significant delays. Two methods of fault detection have been developed for this class of plants, namely a method of functional (anisochronic) state observer and a modified internal model control scheme adopted for that purpose.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Both these model schemes are employed to generate residuals, i.e. differences suitable to watch whether a malfunction of the control operation has occurred. Continuous evaluation of residuals is provided by means of a dynamic application of artificial neural networks (ANNs).]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[This evaluation is carried out on the basis of prediction of time series evolution, where the accordance obtained between the prediction and measured outputs is used as a classification criterion. Implementation of both the methods is demonstrated on a laboratory-scale heat transfer set-up, making use of the Real-Time Matlab software.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Korbicz, Józef (1951- ) - red.]]></dc:contributor>
<dc:contributor><![CDATA[Patton, Ronald J. - red.]]></dc:contributor>
<dc:date><![CDATA[1999]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/58187/AMCS_1999_9_3_5.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/64804/edition/58187/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:58187]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 9, number 3 (1999)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=paper&paper=986]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:64804]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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