Titlebook: Data Mining and Knowledge Discovery for Process Monitoring and Control; Xue Z. Wang Book 1999 Springer-Verlag London 1999 Artificial Intel

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Book 1999ods and algorithms from process monitoring and control, data mining and knowledge discovery, artificial intelligence, pattern recognition, and causal relationship discovery, as well as signal processing. It also provides a framework for integrating plant operators and supervisors into the design of process monitoring and control systems.

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Borka Jerman-Bla?i?,Toma? Klobu?ar hours. Such a delay makes it too late to make timely adjustments. An inferential or software sensor can predict the primary output variable from process inputs and other measured variables without incurring the measurement delay. Such prediction is necessary for implementation of inferential control.

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Inferential Models and Software Sensors, hours. Such a delay makes it too late to make timely adjustments. An inferential or software sensor can predict the primary output variable from process inputs and other measured variables without incurring the measurement delay. Such prediction is necessary for implementation of inferential control.

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Concluding Remarks,oint that plant operators and supervisors are part of the overall control system responsible for data interpretation and critical decision making, and therefore should be integrated into control systems in a way to provide them with necessary computer based, automatic processing tools.

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Book 1999erpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of process-operational data both in real-time and over the operational history, and describes new concepts an

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