Springer Fault Diagnosis of Dynamic Systems: Quantitative and Qualitative Approaches

Fault Diagnosis of Dynamic Systems provides readers with a glimpse into the fundamental issues and techniques of fault diagnosis used by Automatic Control (FDI) and Artificial Intelligence (DX) research communities. The book reviews the standard techniques and approaches widely used in both communities. It also contains benchmark examples and case studies that demonstrate how the same problem can be solved using the presented approaches. The book also introduces advanced fault diagnosis approaches that are currently still being researched, including methods for non-linear, hybrid, discrete-event and software/business systems, as well as, an introduction to prognosis. Fault Diagnosis of Dynamic Systems is valuable source of information for researchers and engineers starting to work on fault diagnosis and willing to have a reference guide on the main concepts and standard approaches on fault diagnosis. Readers with experience on one of the two main communities will also find it useful to learn the fundamental concepts of the other community and the synergies between them. The book is also open to researchers or academics who are already familiar with the standard approaches, since they will find a collection of advanced approaches with more specific and advanced topics or with application to different domains. Finally, engineers and researchers looking for transferable fault diagnosis methods will also find useful insights in the book. From the Back Cover Fault Diagnosis of Dynamic Systems provides readers with a glimpse into the fundamental issues and techniques of fault diagnosis used by Automatic Control (FDI) and Artificial Intelligence (DX) research communities. The book reviews the standard techniques and approaches widely used in both communities. It also contains benchmark examples and case studies that demonstrate how the same problem can be solved using the presented approaches. The book also introduces advanced fault diagnosis approaches that are currently still being researched, including methods for non-linear, hybrid, discrete-event and software/business systems, as well as, an introduction to prognosis. Fault Diagnosis of Dynamic Systems is valuable source of information for researchers and engineers starting to work on fault diagnosis and willing to have a reference guide on the main concepts and standard approaches on fault diagnosis. Readers with experience on one of the two main communities will also find it useful to learn the fundamental concepts of the other community and the synergies between them. The book is also open to researchers or academics who are already familiar with the standard approaches, since they will find a collection of advanced approaches with more specific and advanced topics or with application to different domains. Finally, engineers and researchers looking for transferable fault diagnosis methods will also find useful insights in the book. About the Author Prof. Teresa Escobet received her B.sc./M.sc. Degree in Industrial Engineering at UPC in 1989 and PhD at the same University in 1997. She began work at UPC as an Assistant Prof. in 1986 and she earned the status of Associate Prof. in 2001. Her teaching activities are related to issues of Automatic Control. She is a member of the research group “Advanced Control Systems (SAC)”. Her main research interests are in dynamic system modelling and identification applied to fault detection, isolation, fault-tolerant control and condition-based maintenance. She has been involved in several International and national research projects and networks, and she has published more than 130 journal and conference papers and she has supervised 6 PhD dissertations. She has been NOC member of the 3rd IEEE Conference on Control and Fault-Tolerant Systems (Systol 2016). Dr. Anibal Bregon received his B.Sc., M.Sc. and Ph.D. degrees in Computer Science from the University of Valladol