Vicenc Puig & Silvio Simani 
Diagnosis and Fault-tolerant Control Volume 2 [PDF ebook] 
From Fault Diagnosis to Fault-tolerant Control

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This book presents recent advances in fault diagnosis and fault-tolerant control of dynamic processes. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique and sustainable control, especially for those demanding systems that require reliability, availability, maintainability, and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical.
Diagnosis and Fault-tolerant Control 2 also presents and compares different fault diagnosis and fault-tolerant schemes, using well established, innovative strategies for modeling the behavior of the dynamic process under investigation. An updated treatise of diagnosis and fault-tolerant control is addressed with the use of essential and advanced methods including signal-based, model-based and data-driven techniques. Another key feature is the application of these methods for dealing with robustness and reliability.

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About the author

Vicenc Puig is Professor of Automatic Control at the Universitat Politècnica de Catalunya (UPC), Spain. He has published more than 80 journal articles and more than 350 articles in international conference/workshop proceedings related to diagnosis and faulttolerant control.
Silvio Simani is Professor of Automatic Control in the Engineering Department of Ferrara University, Italy. He has published about 260 journal and conference papers, several book chapters and four monographs on fault diagnosis and sustainable control topics.

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Language English ● Format PDF ● Pages 288 ● ISBN 9781119882336 ● File size 4.9 MB ● Editor Vicenc Puig & Silvio Simani ● Publisher John Wiley & Sons ● Published 2021 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 8237916 ● Copy protection Adobe DRM
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