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	<title>artificial intelligence Archives | Tesibis</title>
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	<description>Consulting &#38; Expert Testimony on Lubrication &#38; Oil Analysis</description>
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		<title>Model of a Fuzzy Logic Expert System for Real-Time Condition Control of a Hydraulic System</title>
		<link>https://tesibis.com/iiot-and-digital-transformation/2-model-of-a-fuzzy-logic-expert-system-for-real-time-condition-control-of-a-hydraulic-system/</link>
		
		<dc:creator><![CDATA[Jim Fitch]]></dc:creator>
		<pubDate>Tue, 16 Dec 2025 22:23:32 +0000</pubDate>
				<category><![CDATA[IIoT & Digital Transformation]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[condition monitoring]]></category>
		<category><![CDATA[expert system]]></category>
		<category><![CDATA[fuzzy logic]]></category>
		<category><![CDATA[IoT]]></category>
		<category><![CDATA[predictive maintenance]]></category>
		<category><![CDATA[Proactive maintenance]]></category>
		<category><![CDATA[real-time sensors]]></category>
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					<description><![CDATA[<p>Condition control is defined as the interactive processes of condition monitoring, condition analysis, and condition response. A model is presented which employs the use of expert systems to achieve real-time condition control of a hydraulic system. </p>
<p>The post <a href="https://tesibis.com/iiot-and-digital-transformation/2-model-of-a-fuzzy-logic-expert-system-for-real-time-condition-control-of-a-hydraulic-system/">Model of a Fuzzy Logic Expert System for Real-Time Condition Control of a Hydraulic System</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">By Jim Fitch and Dr. I.T. Hong<br>Book Chapter, Condition Monitoring, Elsevier Science Publishers, edited by J.R. McEwan</p>



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<p class="wp-block-paragraph">Condition control is defined as the interactive processes of condition monitoring, condition analysis, and condition response. A model is presented which employs the use of expert systems to achieve real-time condition control of a hydraulic system. The approach focuses on the use of fuzzy logic to achieve machine intelligence to monitor and analyze pre-degradation &#8216;incipient&#8217; failure and impending conditions. Also discussed are the corresponding real-time &#8216;reactive&#8217; condition responses, coupling system control with condition control.</p>



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<p>The post <a href="https://tesibis.com/iiot-and-digital-transformation/2-model-of-a-fuzzy-logic-expert-system-for-real-time-condition-control-of-a-hydraulic-system/">Model of a Fuzzy Logic Expert System for Real-Time Condition Control of a Hydraulic System</a> appeared first on <a href="https://tesibis.com">Tesibis</a>.</p>
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