Knowledge Based System Diagnosis Supervision And Control
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Knowledge Based System Diagnosis Supervision And Control
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Author : S.G. Tzafestas
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-22
Knowledge Based System Diagnosis Supervision And Control written by S.G. Tzafestas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-22 with Computers categories.
It is in the area of Systems Diagnosis. Supervision and Control that Knowledge-Based Techniques have had their most significant impact in recent years. In this volume. Spyros Tzafestas has ably put together the current state of the art of the application of Artificial Intelligence concepts to problems of Systems Diagnosis. All the authors in this edited work are distinguished internationally. recognized experts on various aspects of Artificial Intelligence and its applications. and the coverage of the field that they provide is both readable and authoritative. The sixteen chapters break down in a natural way into three broad categories i.e •• (a) introduction to the applications of Expert Systems in Engineering. (b) Knowledge-based systems architectures. models and techniques for fault diagnosis. supervision and real time control and finally. (c) applications and case studies in three specific 'areas. namely: Manufacturing. Chemical Processes and Communications Networks. The final chapter provides a com prehensive survey of the field with an extensive bibliography. The mix of original scientific articles. tutorial and survey papers makes this col lection a very timely and valuable addition to the literature in this important field. MADAN G. SINGH Professor of Information Engineering at U.M.I.S.T.
Logical Foundations For Rule Based Systems
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Author : Antoni Ligeza
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-01-10
Logical Foundations For Rule Based Systems written by Antoni Ligeza and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-10 with Computers categories.
The book presents logical foundations for rule-based systems. An attempt has been made to provide an in-depth discussion of logical and other aspects of such systems, including languages for knowledge representation, inference mechanisms, inference control, design and verification. The ultimate goal was to provide a deeper theoretical insight into the nature of rule-based systems and put together the most complete presentation including details so frequently skipped in typical textbooks. The book may be useful to potentially wide audience, but it is aimed at providing specific knowledge for graduate, post-graduate and Ph.D. students, as well as knowledge engineers and research workers involved in the domain of AI. It also constitutes a summary of the Author’s research and experience gathered through several years of his research work.
Expert Systems In Engineering Applications
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Author : Spyros Tzafestas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Expert Systems In Engineering Applications written by Spyros Tzafestas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Expert system technology is receiving increasing popularity and acceptance in the engineering community. This is due to the fact that there actually exists a close match between the capabilities of the current generation expert systems and the requirements of engineering practice. Prepared by a distinguished team of experts, this book provides a balanced state-of-the-art presentation of the design principles of engineering expert systems, and a representative picture of their capabilities to assist efficiently the design, diagnosis and operation of complex industrial plants. Among the application areas covered are the following: hardware synthesis, industrial plant layout design, fault diagnosis, process control, image analysis, computer communication, electric power systems, intelligent control, robotics, and manufacturing systems. The book is appropriate for the researcher and the professional. The researcher can save considerable time in searching the scattered technical information on engineering expert systems. The professional can have readily available a rich set of guidelines and techniques that are applicable to a wide class of engineering domains.
Methodology And Tools In Knowledge Based Systems
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Author : Angel P. del Pobil
language : en
Publisher: Springer
Release Date : 2006-04-11
Methodology And Tools In Knowledge Based Systems written by Angel P. del Pobil and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-11 with Computers categories.
This two-volume set constitutes the refereed proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, held in Benicassim, Castellon, Spain, in June 1998.The two volumes present a total of 187 revised full papers selected from 291 submissions. In accordance with the conference, the books are devoted to new methodologies, knowledge modeling and hybrid techniques. The papers explore applications from virtually all subareas of AI including knowledge-based systems, fuzzyness and uncertainty, formal reasoning, neural information processing, multiagent systems, perception, robotics, natural language processing, machine learning, supervision and control systems, etc..
Methodology And Tools In Knowledge Based Systems
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Author :
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Methodology And Tools In Knowledge Based Systems written by and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Artificial intelligence categories.
Fault Detection And Diagnosis In Industrial Systems
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Author : L.H. Chiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Fault Detection And Diagnosis In Industrial Systems written by L.H. Chiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process monitoring techniques presented include: Data-driven methods - principal component analysis, Fisher discriminant analysis, partial least squares and canonical variate analysis; Analytical Methods - parameter estimation, observer-based methods and parity relations; Knowledge-based methods - causal analysis, expert systems and pattern recognition. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process monitoring techniques to a non-trivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.
Artificial Intelligence In Industrial Decision Making Control And Automation
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Author : S.G. Tzafestas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Intelligence In Industrial Decision Making Control And Automation written by S.G. Tzafestas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.
Fault Diagnosis
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Author : Józef Korbicz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Fault Diagnosis written by Józef Korbicz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
All real systems in nature - physical, biological and engineering ones - can malfunction and fail due to faults in their components. Logically,the chances for malfunctions increase with the systems' complexity. The complexity of engineering systems is permanently growing due to their growing size and the degree of automation, and accordingly increasing is the danger of fail ing and aggravating their impact for man and the environment. Therefore, in the design and operation of engineering systems, increased attention has to be paid to reliability, safety and fault tolerance. But it is obvious that, compared to the high standard of perfection that nature has achieved with its self-healing and self-repairing capabilities in complex biological organisms, fault management in engineering systems is far behind the standards of their technological achievements; it is still in its infancy, and tremendous work is left to be done. In technical control systems, defects may happen in sensors, actuators, components of the controlled object - the plant, or in the hardware or soft ware of the control framework. Such defects in the components may develop into a failure of the whole system. This effect can easily be amplified by the closed loop, but the closed loop may also hide an incipient fault from be ing observed until a situation has occurred in which the failing of the whole system has become unavoidable.
Intelligent Decision Support
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Author : Shi-Yu Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Intelligent Decision Support written by Shi-Yu Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.
Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.
Rough Sets
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Author : Z. Pawlak
language : en
Publisher: Springer Science & Business Media
Release Date : 1991-10-31
Rough Sets written by Z. Pawlak and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-10-31 with Computers categories.
To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. Knowledge is something people have in their mind, and which they can express through natural language. Knowl edge is acquired not only from books, but also from observations made during experiments; in other words, from data. Changing data into knowledge is not a straightforward task. A set of data is generally disorganized, contains useless details, although it can be incomplete. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e. pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.