Covering the required notions, definitions and backgrounds to understand the problem of fault diagnosis of Discrete Event Systems (DES)
Includes real-world examples in various application domains and multiple illustration examples
Discusses the links between different methods and techniques for the fault diagnosis of DES
Prof. Sayed-Mouchaweh is currently a professor of Computer Science, Control and Signal processing at the University of Reims-France. Maria Paola Cabasino is Adjunct Researcher in the research group of Automatic Controls at the Department of Electrical and Electronic Engineering of the University of Cagliari, Italy.
Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Discrete Event Systems (DESs). This book provides the basic techniques and approaches necessary for the design of an efficient fault diagnosis system for a wide range of modern engineering applications. This book classifies the different techniques and approaches according to several criteria such as: modeling tools (Automata, Petri nets, Templates) that is used to construct the model; the information (qualitative based on events occurrences and/or states outputs, quantitative based on signal processing, data analysis) that is needed to analyze and achieve the diagnosis; the decision structure (centralized, decentralized) that is required to achieve the diagnosis; as well as the complexity (polynomial, exponential) of the algorithm that is used to determine the set of faults that the proposed approach is able to diagnose as well as the delay time required for this diagnosis. The goal of this classification is to select the efficient method to achieve the fault diagnosis according to the application constraints. This book will include illustrated examples of the presented methods and techniques as well as a discussion on the application of these methods on several real-world problems.
Introduction to the diagnosis of discrete event systems.- Centralized diagnosis of discrete event systems.- Decentralized diagnosis of Discrete Event Systems.- Conclusion and discussion.
Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Discrete Event Systems (DES). This book provides the basic techniques and approaches necessary for the design of an efficient fault diagnosis system for a wide range of modern engineering applications. The different techniques and approaches are classified according to several criteria such as: modeling tools (Automata, Petri nets) that is used to construct the model; the information (qualitative based on events occurrences and/or states outputs, quantitative based on signal processing and data analysis) that is needed to analyze and achieve the diagnosis; the decision structure (centralized, decentralized) that is required to achieve the diagnosis. The goal of this classification is to select the efficient method to achieve the fault diagnosis according to the application constraints. This book focuses on the centralized and decentralized event based diagnosis approaches using formal language and automata as modeling tool. The work includes illustrated examples of the presented methods and techniques as well as a discussion on the application of these methods on several real-world problems.
"This book gives a comprehensive and self-containedtreatment of model-based event-centered fault diagnosis in the spirit of thediagnosability notion introduced by Sampath et al. ... it presents a concisemanual for students and practitioners who wish to study or apply precisely thefinite-state-machine approach with the canonical diagnoser construction.” (StefanHaar, Mathematical Reviews, December, 2015)
Introduction to the diagnosis of discrete event systems.- Centralized diagnosis of discrete event systems.- Decentralized diagnosis of Discrete Event Systems.- Conclusion and discussion.
"This book gives a comprehensive and self-contained treatment of model-based event-centered fault diagnosis in the spirit of the diagnosability notion introduced by Sampath et al. ... it presents a concise manual for students and practitioners who wish to study or apply precisely the finite-state-machine approach with the canonical diagnoser construction." (Stefan Haar, Mathematical Reviews, December, 2015)
Über den Autor
Prof. Sayed-Mouchaweh is currently a professor of Computer Science, Control and Signal processing at the University of Reims-France. Maria Paola Cabasino is Adjunct Researcher in the research group of Automatic Controls at the Department of Electrical and Electronic Engineering of the University of Cagliari, Italy.
Inhaltsverzeichnis
Introduction to the diagnosis of discrete event systems.- Centralized diagnosis of discrete event systems.- Decentralized diagnosis of Discrete Event Systems.- Conclusion and discussion.
Klappentext
Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Discrete Event Systems (DESs). This book provides the basic techniques and approaches necessary for the design of an efficient fault diagnosis system for a wide range of modern engineering applications. This book classifies the different techniques and approaches according to several criteria such as: modeling tools (Automata, Petri nets, Templates) that is used to construct the model; the information (qualitative based on events occurrences and/or states outputs, quantitative based on signal processing, data analysis) that is needed to analyze and achieve the diagnosis; the decision structure (centralized, decentralized) that is required to achieve the diagnosis; as well as the complexity (polynomial, exponential) of the algorithm that is used to determine the set of faults that the proposed approach is able to diagnose as well as the delay time required for this diagnosis. The goal of this classification is to select the efficient method to achieve the fault diagnosis according to the application constraints. This book will include illustrated examples of the presented methods and techniques as well as a discussion on the application of these methods on several real-world problems.
Covering the required notions, definitions and backgrounds to understand the problem of fault diagnosis of Discrete Event Systems (DES)
Includes real-world examples in various application domains and multiple illustration examples
Discusses the links between different methods and techniques for the fault diagnosis of DES
Includes supplementary material: sn.pub/extras
