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This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and
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This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as w
Data-Driven Fault Detection for Industrial Processes
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Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability an
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Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research
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This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework a