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Data-Driven Fault Detection for Industrial Processes is an essential academic resource authored by Zhiwen Chen, published by Springer in 2017. This book provides in-depth insights into the methodologies and applications of data-driven techniques for fault detection in industrial processes, making it a valuable addition to the library of professionals and students in the field.
This book is perfect for students, researchers, and industry professionals looking to deepen their understanding of fault detection techniques and their applications in industrial settings. The comprehensive coverage ensures that readers gain practical insights and theoretical knowledge.
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