Front Matter -- Mathematical Modeling and Fault Description / Silvio Simani -- Structural Analysis / Mattias Krysander, Erik Frisk -- Set-based Fault Detection and Isolation / Ye Wang, Vicen Puig -- Diagnosis of Stochastic Systems / Gregory Provan -- Data-Driven Methods for Fault Diagnosis / Silvio Simani -- The Artificial Intelligence Approach to Model-based Diagnosis / Belarmino Pulido, Carlos J Alonso-Gonzalez, Anibal Bregon.

Includes bibliographical references and index.

Online resource; title from PDF title page (John Wiley, viewed December 9, 2021).

This book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, 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 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.

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