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Focusing on advancements in automatic data analysis and interpretation, this book explores methodologies for creating intelligent systems for process monitoring, control, and diagnosis. It integrates various fields, including data mining, artificial intelligence, and signal processing, to enhance decision-making in computer-based control systems. By emphasizing real-time and historical data analysis, it aims to improve operators' roles through better system design, fostering a collaborative approach between technology and human oversight.
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