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This book examines recent methods for datadriven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing datadriven methods from at least three different areas: statistics, unsupervised, and supervised learning.
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