Solving Fault Diagnosis Problems

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Solving Fault Diagnosis Problems

Andreas Varga

Author : Andreas Varga
Publisher : Springer
Page : 412 pages
File Size : 40,7 Mb
Release : 2017-02-14
Category : Technology & Engineering
ISBN : 9783319515595

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Solving Fault Diagnosis Problems by Andreas Varga Pdf

This book addresses fault detection and isolation topics from a computational perspective. Unlike most existing literature, it bridges the gap between the existing well-developed theoretical results and the realm of reliable computational synthesis procedures. The model-based approach to fault detection and diagnosis has been the subject of ongoing research for the past few decades. While the theoretical aspects of fault diagnosis on the basis of linear models are well understood, most of the computational methods proposed for the synthesis of fault detection and isolation filters are not satisfactory from a numerical standpoint. Several features make this book unique in the fault detection literature: Solution of standard synthesis problems in the most general setting, for both continuous- and discrete-time systems, regardless of whether they are proper or not; consequently, the proposed synthesis procedures can solve a specific problem whenever a solution exists Emphasis on the best numerical algorithms to solve the synthesis problems for linear systems in generalized state-space form (also known as descriptor systems) Development of general synthesis procedures relying on new computational paradigms, such as factorization-based design based on filter updating techniques and nullspace-based synthesis Availability of a comprehensive set of free accompanying software tools for descriptor systems, which allows readers to easily implement all synthesis procedures presented in the book and ensures that all results are reproducible This book is primarily intended for researchers and advanced graduate students in the areas of fault diagnosis and fault-tolerant control. It will also appeal to mathematicians with an interest in control-oriented numerics.

Solving Fault Diagnosis Problems

Andreas Varga

Author : Andreas Varga
Publisher : Springer
Page : 0 pages
File Size : 50,7 Mb
Release : 2023-08-26
Category : Technology & Engineering
ISBN : 3031357663

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Solving Fault Diagnosis Problems by Andreas Varga Pdf

The goal of this new edition is the same as for the first edition ”to address the fault detection and isolation topics from a computational perspective“, by covering the same important aspects, namely, (1) providing a completely general theoretical treatment of fault and model detection problems for linear time-invariant systems; (2) presenting the best suited numerical approaches to solve the specific computational problems; (3) providing supporting software to solve the analysis and filter synthesis problems. In this second edition, the changes in the theoretical presentation are minor and all known errors and typos have been corrected. The major difference to the first edition is in the underlying computational support, which is now based on software developed in a relatively new language called Julia. The presentation of synthesis procedures and examples is similar to the first edition, but it is now interlaced with Julia codes which can be used to reproduce all computational examples and figures presented in the book. An Appendix has been added to cover some basic issues related to using Julia and the new FaultDetectionTools and DescriptorSystems packages.

Fault Diagnosis Inverse Problems: Solution with Metaheuristics

Lídice Camps Echevarría,Orestes Llanes Santiago,Haroldo Fraga de Campos Velho,Antônio José da Silva Neto

Author : Lídice Camps Echevarría,Orestes Llanes Santiago,Haroldo Fraga de Campos Velho,Antônio José da Silva Neto
Publisher : Springer
Page : 167 pages
File Size : 52,7 Mb
Release : 2018-05-28
Category : Mathematics
ISBN : 9783319899787

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Fault Diagnosis Inverse Problems: Solution with Metaheuristics by Lídice Camps Echevarría,Orestes Llanes Santiago,Haroldo Fraga de Campos Velho,Antônio José da Silva Neto Pdf

This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.

Knowledge-Driven Board-Level Functional Fault Diagnosis

Fangming Ye,Zhaobo Zhang,Krishnendu Chakrabarty,Xinli Gu

Author : Fangming Ye,Zhaobo Zhang,Krishnendu Chakrabarty,Xinli Gu
Publisher : Springer
Page : 147 pages
File Size : 46,8 Mb
Release : 2016-08-19
Category : Technology & Engineering
ISBN : 9783319402109

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Knowledge-Driven Board-Level Functional Fault Diagnosis by Fangming Ye,Zhaobo Zhang,Krishnendu Chakrabarty,Xinli Gu Pdf

This book provides a comprehensive set of characterization, prediction, optimization, evaluation, and evolution techniques for a diagnosis system for fault isolation in large electronic systems. Readers with a background in electronics design or system engineering can use this book as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis systems. Moreover, readers with a background in statistics or data analytics can use this book as a practical case study for adapting data mining and machine learning techniques to electronic system design and diagnosis. This book identifies the key challenges in reasoning-based, board-level diagnosis system design and presents the solutions and corresponding results that have emerged from leading-edge research in this domain. It covers topics ranging from highly accurate fault isolation, adaptive fault isolation, diagnosis-system robustness assessment, to system performance analysis and evaluation, knowledge discovery and knowledge transfer. With its emphasis on the above topics, the book provides an in-depth and broad view of reasoning-based fault diagnosis system design. • Explains and applies optimized techniques from the machine-learning domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing;• Demonstrates techniques based on industrial data and feedback from an actual manufacturing line;• Discusses practical problems, including diagnosis accuracy, diagnosis time cost, evaluation of diagnosis system, handling of missing syndromes in diagnosis, and need for fast diagnosis-system development.

Intelligent Problem Solving. Methodologies and Approaches

Rasiah Logananthara,Günther Palm,Moonis Ali

Author : Rasiah Logananthara,Günther Palm,Moonis Ali
Publisher : Springer
Page : 754 pages
File Size : 54,8 Mb
Release : 2003-07-31
Category : Computers
ISBN : 9783540450498

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Intelligent Problem Solving. Methodologies and Approaches by Rasiah Logananthara,Günther Palm,Moonis Ali Pdf

The focus of the papers presented in these proceedings is on employing various methodologies and approaches for solving real-life problems. Although the mechanisms that the human brain employs to solve problems are not yet completely known, we do have good insight into the functional processing performed by the human mind. On the basis of the understanding of these natural processes, scientists in the field of applied intelligence have developed multiple types of artificial processes, and have employed them successfully in solving real-life problems. The types of approaches used to solve problems are dependant on both the nature of the problem and the expected outcome. While knowledge-based systems are useful for solving problems in well-understood domains with relatively stable environments, the approach may fail when the domain knowledge is either not very well understood or changing rapidly. The techniques of data discovery through data mining will help to alleviate some problems faced by knowledge-based approaches to solving problems in such domains. Research and development in the area of artificial intelligence are influenced by opportunity, needs, and the availability of resources. The rapid advancement of Internet technology and the trend of increasing bandwidths provide an opportunity and a need for intelligent information processing, thus creating an excellent opportunity for agent-based computations and learning. Over 40% of the papers appearing in the conference proceedings focus on the area of machine learning and intelligent agents - clear evidence of growing interest in this area.

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

Steven X. Ding

Author : Steven X. Ding
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 47,6 Mb
Release : 2014-04-12
Category : Technology & Engineering
ISBN : 9781447164104

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Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems by Steven X. Ding Pdf

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.

Issues of Fault Diagnosis for Dynamic Systems

Ron J. Patton,Paul M. Frank,Robert N. Clark

Author : Ron J. Patton,Paul M. Frank,Robert N. Clark
Publisher : Springer Science & Business Media
Page : 612 pages
File Size : 40,8 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781447136446

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Issues of Fault Diagnosis for Dynamic Systems by Ron J. Patton,Paul M. Frank,Robert N. Clark Pdf

Since the time our first book Fault Diagnosis in Dynamic Systems: The ory and Applications was published in 1989 by Prentice Hall, there has been a surge in interest in research and applications into reliable methods for diag nosing faults in complex systems. The first book sold more than 1,200 copies and has become the main text in fault diagnosis for dynamic systems. This book will follow on this excellent record by focusing on some of the advances in this subject, by introducing new concepts in research and new application topics. The work cannot provide an exhaustive discussion of all the recent research in fault diagnosis for dynamic systems, but nevertheless serves to sample some of the major issues. It has been valuable once again to have the co-operation of experts throughout the world working in industry, gov emment establishments and academic institutions in writing the individual chapters. Sometimes dynamical systems have associated numerical models available in state space or in frequency domain format. When model infor mation is available, the quantitative model-based approach to fault diagnosis can be taken, using the mathematical model to generate analytically redun dant alternatives to the measured signals. When this approach is used, it becomes important to try to understand the limitations of the mathematical models i. e. , the extent to which model parameter variations occur and the effect of changing the systems point of operation.

Logarithmic Similarity Measure between Interval-Valued Fuzzy Sets and Its Fault Diagnosis Method

Zhikang Lu , Jun Ye

Author : Zhikang Lu , Jun Ye
Publisher : Infinite Study
Page : 12 pages
File Size : 54,9 Mb
Release : 2024-06-15
Category : Electronic
ISBN : 8210379456XXX

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Logarithmic Similarity Measure between Interval-Valued Fuzzy Sets and Its Fault Diagnosis Method by Zhikang Lu , Jun Ye Pdf

Fault diagnosis is an important task for the normal operation and maintenance of equipment. In many real situations, the diagnosis data cannot provide deterministic values and are usually imprecise or uncertain. Thus, interval-valued fuzzy sets (IVFSs) are very suitable for expressing imprecise or uncertain fault information in real problems.

Sensors Fault Diagnosis Trends and Applications

Piotr Witczak

Author : Piotr Witczak
Publisher : MDPI
Page : 236 pages
File Size : 41,9 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783036510484

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Sensors Fault Diagnosis Trends and Applications by Piotr Witczak Pdf

Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.

Observer Design for Control and Fault Diagnosis of Boolean Networks

Zhihua Zhang

Author : Zhihua Zhang
Publisher : Springer Nature
Page : 177 pages
File Size : 49,6 Mb
Release : 2021-12-11
Category : Technology & Engineering
ISBN : 9783658359294

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Observer Design for Control and Fault Diagnosis of Boolean Networks by Zhihua Zhang Pdf

Boolean control networks (BCNs) are a kind of parameter-free model, which can be used to approximate the qualitative behavior of biological systems. After converting into a model similar to the standard discrete-time state-space model, control-theoretic problems of BCNs can be studied. In control theory, state observers can provide state estimation for any other applications. Reconstructibility condition is necessary for the existence of state observers. In this thesis explicit and recursive methods have been developed for reconstructibility analysis. Then, an approach to design Luenberger-like observer has been proposed, which works in a two-step process (i.e. predict and update). If a BCN is reconstructible, then an accurate state estimate can be provided by the observer no later than the minimal reconstructibility index. For a wide range of applications the approach has been extended to enable design of unknown input observer, distributed observers and reduced-order observer. The performance of the observers has been evaluated thoroughly. Furthermore, methods for output tracking control and fault diagnosis of BCNs have been developed. Finally, the developed schemes are tested with numerical examples.

Toward a Unified Theory of Problem Solving

Mike U. Smith

Author : Mike U. Smith
Publisher : Routledge
Page : 178 pages
File Size : 55,9 Mb
Release : 2012-11-12
Category : Education
ISBN : 9781136467165

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Toward a Unified Theory of Problem Solving by Mike U. Smith Pdf

One of the most active fields of educational research in recent years has been the investigation of problem-solving performance. Two opposing views of current research -- one suggesting that there are more differences than similarities within different domains, and the other stating that there is great similarity -- lead to a variety of questions: * Is problem solving a single construct? * Are there aspects of problem-solving performance that are similar across a variety of content domains? * What problem-solving skills learned within one context can be expected to transfer to other domains? The purpose of this book is to serve as the basis for the productive exchange of information that will help to answer these questions -- by drawing together preliminary theoretical understandings, sparking debate and disagreement, raising new questions and directions, and perhaps developing new world views.

Model-based Fault Diagnosis Techniques

Steven X. Ding

Author : Steven X. Ding
Publisher : Springer Science & Business Media
Page : 473 pages
File Size : 50,5 Mb
Release : 2008-02-23
Category : Technology & Engineering
ISBN : 9783540763048

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Model-based Fault Diagnosis Techniques by Steven X. Ding Pdf

The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms, and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers. This is a textbook with extensive examples and references. Most methods are given in the form of an algorithm that enables a direct implementation in a programme. Comparisons among different methods are included when possible.

Proceedings of the Third International Conference on Soft Computing for Problem Solving

Millie Pant,Kusum Deep,Atulya Nagar,Jagdish Chand Bansal

Author : Millie Pant,Kusum Deep,Atulya Nagar,Jagdish Chand Bansal
Publisher : Springer
Page : 966 pages
File Size : 40,5 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9788132217688

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Proceedings of the Third International Conference on Soft Computing for Problem Solving by Millie Pant,Kusum Deep,Atulya Nagar,Jagdish Chand Bansal Pdf

The proceedings of SocProS 2013 serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects of Soft Computing, an umbrella term for techniques like fuzzy logic, neural networks and evolutionary algorithms, swarm intelligence algorithms etc. This book will be beneficial for the young as well as experienced researchers dealing with complex and intricate real world problems for which finding a solution by traditional methods is very difficult. The different areas covered in the proceedings are: Image Processing, Cryptanalysis, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Optimization, Problems related to Medical and Health Care, Networking etc.

Advanced methods for fault diagnosis and fault-tolerant control

Steven X. Ding

Author : Steven X. Ding
Publisher : Springer Nature
Page : 664 pages
File Size : 49,9 Mb
Release : 2020-11-24
Category : Technology & Engineering
ISBN : 9783662620045

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Advanced methods for fault diagnosis and fault-tolerant control by Steven X. Ding Pdf

The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant control from different aspects. Under the aspect of system types, fault diagnosis and fault-tolerant issues are dealt with for linear time-invariant and time-varying systems as well as for nonlinear and distributed (including networked) systems. From the methodological point of view, both model-based and data-driven schemes are investigated.To allow for a self-contained study and enable an easy implementation in real applications, the necessary knowledge as well as tools in mathematics and control theory are included in this book. The main results with the fault diagnosis and fault-tolerant schemes are presented in form of algorithms and demonstrated by means of benchmark case studies. The intended audience of this book are process and control engineers, engineering students and researchers with control engineering background.

Fault Detection, Supervision and Safety of Technical Processes 2006

Hong-Yue Zhang

Author : Hong-Yue Zhang
Publisher : Elsevier
Page : 1576 pages
File Size : 47,9 Mb
Release : 2007-03-01
Category : Science
ISBN : 008055539X

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Fault Detection, Supervision and Safety of Technical Processes 2006 by Hong-Yue Zhang Pdf

The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection and diagnosis (FDD) has developed into a major area of research, at the intersection of systems and control engineering, artificial intelligence, applied mathematics and statistics, and such application fields as chemical, electrical, mechanical and aerospace engineering. IFAC has recognized the significance of FDD by launching a triennial symposium series dedicated to the subject. The SAFEPROCESS Symposium is organized every three years since the first symposium held in Baden-Baden in 1991. SAFEPROCESS 2006, the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes was held in Beijing, PR China. The program included three plenary papers, two semi-plenary papers, two industrial talks by internationally recognized experts and 258 regular papers, which have been selected out of a total of 387 regular and invited papers submitted. * Discusses the developments and future challenges in all aspects of fault diagnosis and fault tolerant control * 8 invited and 36 contributed sessions included with a special session on the demonstration of process monitoring and diagnostic software tools

Solving Fault Diagnosis Problems

Solving Fault Diagnosis Problems by Andreas Varga Pdf

Solving Fault Diagnosis Problems by Andreas Varga Pdf

Fault Diagnosis Inverse Problems: Solution with Metaheuristics by Lídice Camps Echevarría,Orestes Llanes Santiago,Haroldo Fraga de Campos Velho,Antônio José da Silva Neto Pdf

Knowledge-Driven Board-Level Functional Fault Diagnosis by Fangming Ye,Zhaobo Zhang,Krishnendu Chakrabarty,Xinli Gu Pdf

Intelligent Problem Solving. Methodologies and Approaches by Rasiah Logananthara,Günther Palm,Moonis Ali Pdf

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems by Steven X. Ding Pdf

Issues of Fault Diagnosis for Dynamic Systems by Ron J. Patton,Paul M. Frank,Robert N. Clark Pdf

Logarithmic Similarity Measure between Interval-Valued Fuzzy Sets and Its Fault Diagnosis Method by Zhikang Lu , Jun Ye Pdf

Sensors Fault Diagnosis Trends and Applications by Piotr Witczak Pdf

Observer Design for Control and Fault Diagnosis of Boolean Networks by Zhihua Zhang Pdf

Toward a Unified Theory of Problem Solving by Mike U. Smith Pdf

Model-based Fault Diagnosis Techniques by Steven X. Ding Pdf

Proceedings of the Third International Conference on Soft Computing for Problem Solving by Millie Pant,Kusum Deep,Atulya Nagar,Jagdish Chand Bansal Pdf

Advanced methods for fault diagnosis and fault-tolerant control by Steven X. Ding Pdf

Fault Detection, Supervision and Safety of Technical Processes 2006 by Hong-Yue Zhang Pdf

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