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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.

Control theory. --- Discrete-time systems --- Robots --- System analysis. --- Automation. --- Control systems. --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Robot control --- Robotics --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Digital control systems --- System analysis --- Linear time invariant systems --- Dynamics --- Machine theory --- Computational complexity. --- Computer science --- Differentiable dynamical systems. --- Control, Robotics, Mechatronics. --- Discrete Mathematics in Computer Science. --- Computational Mathematics and Numerical Analysis. --- Information Systems Applications (incl. Internet). --- Dynamical Systems and Ergodic Theory. --- Mathematics. --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Complexity, Computational --- Mathematics --- Control engineering. --- Robotics. --- Mechatronics. --- Computer science—Mathematics. --- Computer mathematics. --- Application software. --- Dynamics. --- Ergodic theory. --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers

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Online fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors. Consequences of the occurrence of faults can be severe and result in human casualties, environmentally harmful emissions, high repair costs, and economical losses caused by unexpected stops in production lines. The majority of real systems are hybrid dynamic systems (HDS). In HDS, the dynamical behaviors evolve continuously with time according to the discrete mode (configuration) in which the system is. Consequently, fault diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to perform correct fault diagnosis. This book presents recent and advanced approaches and techniques that address the complex problem of fault diagnosis of hybrid dynamic and complex systems using different model-based and data-driven approaches in different application domains (inductor motors, chemical process formed by tanks, reactors and valves, ignition engine, sewer networks, mobile robots, planetary rover prototype etc.). These approaches cover the different aspects of performing single/multiple online/offline parametric/discrete abrupt/tear and wear fault diagnosis in incremental/non-incremental manner, using different modeling tools (hybrid automata, hybrid Petri nets, hybrid bond graphs, extended Kalman filter etc.) for different classes of hybrid dynamic and complex systems. Synthesizes the state of the art in the domain of fault diagnosis of hybrid dynamic systems; Studies the complementarities and the links between the different methods and techniques of fault diagnosis of hybrid dynamic systems; Includes the required notions, definitions and background to understand the problem of fault diagnosis of hybrid dynamic systems and how to solve it; Uses multiple examples in order to facilitate the understanding of the presented methods.

Computational intelligence. --- Engineering. --- Computers. --- Control engineering. --- Quality control. --- Reliability. --- Industrial safety. --- Electrical engineering. --- Communications Engineering, Networks. --- Quality Control, Reliability, Safety and Risk. --- Control. --- Computational Intelligence. --- Information Systems and Communication Service. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Construction --- Industrial arts --- Technology --- Electric engineering --- Engineering --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Prevention --- Telecommunication. --- System safety. --- Information systems. --- Control and Systems Theory. --- Safety, System --- Safety of systems --- Systems safety --- Industrial safety --- Systems engineering --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting

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The emerging area of Evolving Intelligent Systems (EIS) targets non stationary processes by developing novel evolving learning methods and computationally efficient algorithms for realtime applications EAIS 2014 will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations, and the outline of open important future challenges in the area in the wide field of EIS and its application and implementation in on line processes of real world domains.

Evolutionary programming (Computer science) --- Adaptive computing systems

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This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.). Uses examples and applications to facilitate the understanding of AI techniques for scalable energy transitions Includes examples, problems, and techniques in order to increase transparency and understanding of the methodological concepts Dedicated to researchers, practitioners, and operators working with industrial systems.

Artificial intelligence --- Environmental applications. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Electrical engineering. --- Computational intelligence. --- Artificial intelligence. --- Data mining. --- Big data. --- Communications Engineering, Networks. --- Computational Intelligence. --- Artificial Intelligence. --- Data Mining and Knowledge Discovery. --- Big Data/Analytics. --- Data sets, Large --- Large data sets --- Data sets --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Intelligence, Computational --- Soft computing --- Electric engineering --- Engineering --- Power resources --- Engineering applications. --- Data processing. --- Energy --- Energy resources --- Power supply --- Natural resources --- Energy harvesting --- Energy industries --- Data processing

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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.

Differential geometry. Global analysis --- Ergodic theory. Information theory --- Discrete mathematics --- Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- mechatronica --- differentiaal geometrie --- complexiteit --- industriële robots --- discrete wiskunde --- automatisering --- informatica --- externe fixatie (geneeskunde --- informatiesystemen --- wiskunde --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- informatietheorie --- AI (artificiële intelligentie)