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Fault Diagnosis in Discrete-event and Hybrid Systems

Fault Diagnosis in Discrete-event and Hybrid Systems
Author: Shahin Hashtrudi Zad
Publisher:
Total Pages: 0
Release: 1999
Genre:
ISBN:
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A framework for on-line passive fault diagnosis in discrete-event systems is proposed. In this approach, the system and the diagnoser (the fault detection system) do not have to be initialized at the same time, and no information about the state or even the condition (failure status) of the system before the initiation of diagnosis is required. First, a state-based approach for fault diagnosis in finite-state automata is presented. The design of the fault detection system has, in the worst case, exponential time complexity. A model reduction scheme with Polynomial time complexity is introduced to reduce the computational Complexity of the design. Next the use of timing information to improve the accuracy of diagnosis is considered. Instead of directly extending the framework to timed discrete-event systems, an alternative approach is taken which leads to significant reduction in on-line computing requirements, and in many cases, in the size of the diagnoser at the expense of more off-line design calculations. The issue of diagnosability of failures in this framework is also studied and necessary and sufficient conditions for diagnosability are derived. In addition, the cases where the discrete-event models used in fault issue is whether the discrete-event model contains enough information about the system for the purpose of fault diagnosis. In this regard, two different notions of consistency between high-level (discrete-event) and low-level (hybrid) models are introduced. Sufficient conditions for consistency are derived and a semi-algorithmic method for constructing suitable high-level discrete-event models from low-level hybrid systems is developed.

Fault Diagnosis of Hybrid Dynamic and Complex Systems

Fault Diagnosis of Hybrid Dynamic and Complex Systems
Author: Moamar Sayed-Mouchaweh
Publisher: Springer
Total Pages: 290
Release: 2018-03-27
Genre: Technology & Engineering
ISBN: 3319740148
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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.

Introduction to Discrete Event Systems

Introduction to Discrete Event Systems
Author: Christos G. Cassandras
Publisher: Springer Nature
Total Pages: 821
Release: 2021-11-11
Genre: Computers
ISBN: 3030722740
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This unique textbook comprehensively introduces the field of discrete event systems, offering a breadth of coverage that makes the material accessible to readers of varied backgrounds. The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queueing theory, discrete-event simulation, and concurrent estimation techniques. Topics and features: detailed treatment of automata and language theory in the context of discrete event systems, including application to state estimation and diagnosis comprehensive coverage of centralized and decentralized supervisory control of partially-observed systems timed models, including timed automata and hybrid automata stochastic models for discrete event systems and controlled Markov chains discrete event simulation an introduction to stochastic hybrid systems sensitivity analysis and optimization of discrete event and hybrid systems new in the third edition: opacity properties, enhanced coverage of supervisory control, overview of latest software tools This proven textbook is essential to advanced-level students and researchers in a variety of disciplines where the study of discrete event systems is relevant: control, communications, computer engineering, computer science, manufacturing engineering, transportation networks, operations research, and industrial engineering. ​Christos G. Cassandras is Distinguished Professor of Engineering, Professor of Systems Engineering, and Professor of Electrical and Computer Engineering at Boston University. Stéphane Lafortune is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.

Discrete Event Systems

Discrete Event Systems
Author: Moamar Sayed-Mouchaweh
Publisher: Springer Science & Business Media
Total Pages: 73
Release: 2014-03-24
Genre: Technology & Engineering
ISBN: 1461400317
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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.

Bond Graph Model-based Fault Diagnosis of Hybrid Systems

Bond Graph Model-based Fault Diagnosis of Hybrid Systems
Author: Wolfgang Borutzky
Publisher: Springer
Total Pages: 283
Release: 2014-11-04
Genre: Technology & Engineering
ISBN: 3319118609
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This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art, then focuses on hybrid systems. The author then uses different bond graph approaches throughout the text and provides case studies.

Fault Diagnosis of Dynamic Systems

Fault Diagnosis of Dynamic Systems
Author: Teresa Escobet
Publisher: Springer
Total Pages: 462
Release: 2019-06-22
Genre: Technology & Engineering
ISBN: 3030177289
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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.