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	<title>Hubert Asamer &#8211; Noise</title>
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		<title>Detect Real-Time Anomalies and Failures in Industrial Processes Using Apache Flink</title>
		<link>https://noise.getoto.net/2022/01/10/detect-real-time-anomalies-and-failures-in-industrial-processes-using-apache-flink/</link>
		
		<dc:creator><![CDATA[Hubert Asamer]]></dc:creator>
		<pubDate>Mon, 10 Jan 2022 21:13:34 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[Manufacturing]]></category>
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					<description><![CDATA[For a long time, industrial control systems were the heart of the manufacturing process which allows collecting, processing, and acting on data from the shop floor. Process manufacturers used a distributed control system (DCS) to do the automated control and operation of an industrial process or plant. With the convergence of operational technology and information […]]]></description>
		
		
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