Modeling Diagnostics And Process Control

Author : Józef Korbicz,Jan M. Koscielny
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 46,8 Mb
Release : 2010-11-19
Category : Technology & Engineering
ISBN : 9783642166532

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Modeling, Diagnostics and Process Control by Józef Korbicz,Jan M. Koscielny Pdf

Modern control systems are complex in the sense of implementing numerous functions, such as process variable processing, digital control, process monitoring and alarm indication, graphic visualization of process running, or data exchange with other systems or databases. This book conveys a description of the developed DiaSter system as well as characteristics of advanced original methods of modeling, knowledge discovery, simulator construction, process diagnosis, as well as predictive and supervision control applied in the system. The system allows early recognition of abnormal states of industrial processes along with faults or malfunctions of actuators as well as technological and measuring units. The universality of solutions implemented in DiaSter facilitates its broad application, for example, in the power, chemical, pharmaceutical, metallurgical and food industries. The system is a world-scale unique solution, and due to its open architecture it can be connected practically with any other control systems. The monograph presents theoretical and practical results of research into fault diagnosis and control conducted over many years within the cooperation of Polish research teams from the Warsaw University of Technology, the University of Zielona Góra, the Silesian University of Technology in Gliwice, and the Technical University of Rzeszów. The book will be of great interest to researchers and advanced students in automatic control, technical diagnostics and computer engineering, and to engineers tasked with the development of advanced control systems of complex industrial processes.

Author : B-t Chu,Su-shing Chen
Publisher : World Scientific
Page : 273 pages
File Size : 40,7 Mb
Release : 1992-08-31
Category : Phase space (Statistical physics)
ISBN : 9789814520447

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Intelligent Modeling, Diagnosis And Control Of Manufacturing Processes by B-t Chu,Su-shing Chen Pdf

This volume demonstrates that the key to the modeling, diagnosis and control of the next generation manufacturing processes is to integrate knowledge-based systems with traditional techniques. An up-to-date study is given here of this relatively recent development.The book is for those working primarily with traditional techniques and those working in the knowledge-based systems field. Both sets of readers will find it to be a source of many specific ideas about the integration of knowledge-based systems with traditional techniques, and carrying a wealth of useful references.

Author : M. Meyyappan,Demetre John Economou,Stephanie Watts Butler
Publisher : The Electrochemical Society
Page : 644 pages
File Size : 47,5 Mb
Release : 1995
Category : Technology & Engineering
ISBN : 1566770963

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Proceedings of the Symposium Om Process Control, Diagnostics, and Modeling in Semiconductor Manufacturing by M. Meyyappan,Demetre John Economou,Stephanie Watts Butler Pdf

Author : M. Meyyappan,Demetre John Economou,Stephanie Watts Butler
Publisher : The Electrochemical Society
Page : 366 pages
File Size : 49,6 Mb
Release : 1997
Category : Technology & Engineering
ISBN : 1566771366

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Proceedings of the Second International Symposium on Process Control, Diagnostics, and Modeling in Semiconductor Manufacturing by M. Meyyappan,Demetre John Economou,Stephanie Watts Butler Pdf

Author : Ján Mikleš,Miroslav Fikar
Publisher : Springer Science & Business Media
Page : 480 pages
File Size : 52,8 Mb
Release : 2007-06-30
Category : Technology & Engineering
ISBN : 9783540719700

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Process Modelling, Identification, and Control by Ján Mikleš,Miroslav Fikar Pdf

This compact and original reference and textbook presents the most important classical and modern essentials of control engineering in a single volume. It constitutes a harmonic mixture of control theory and applications, which makes the book especially useful for students, practicing engineers and researchers interested in modeling and control of processes. Well written and easily understandable, it includes a range of methods for the analysis and design of control systems.

Author : Yucai Zhu,Ton Backx
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447120582

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Identification of Multivariable Industrial Processes by Yucai Zhu,Ton Backx Pdf

Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. The areas covered are experiment design, model structure selection, parameter estimation as well as error bounds of the transfer function. This publication is intended to fill the gap between modern systems and control theory and industrial application. It is based on the results of 10 years of research and application experiences. The theories and models discussed are fully explained and illustrated with case studies. At an early stage the reader is introduced to real applications.

Author : Bei-Tseng Bill Chu,Su-shing Chen
Publisher : World Scientific Publishing Company Incorporated
Page : 263 pages
File Size : 43,5 Mb
Release : 1992
Category : Technology & Engineering
ISBN : 9810208170

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Intelligent Modeling, Diagnosis and Control of Manufacturing Processes by Bei-Tseng Bill Chu,Su-shing Chen Pdf

1. Manufacturing diagnosis and control: a task-specific approach / W.F. Punch III, A.K. Goel and J. Sticklen -- 2. The theory and application of diagnostic and control expert system based on plant model / J. Suzuki and M. Iwamasa -- 3. Integrated problem solving for the diagnosis of interacting process malfunctions / J.K. McDowell and J.F. Davis -- 4. A neural network model for diagnostic problem solving / Y. Peng and J.A. Reggia -- 5. Process control system for VLSI fabrication / E. Sachs [und weitere] -- 6. Development and application of equipment-specific process models for semiconductor manufacturing / K.-K. Lin and C. Spanos -- 7. Continuous equipment diagnosis using evidence integration - an LPCVD application / N.H. Chang, and C. Spanos -- 8. Equipment/instrument diagnosis with continuous and discrete causal relationships / B.-T.B. Chu -- 9. Intelligent control of semiconductor manufacturing processes / S.-S. Chen -- 10. A machine learning approach to diagnosis and control with applications in semiconductor manufacturing / K.B. Irani [und weitere]

Author : Marcin Witczak
Publisher : Springer Science & Business Media
Page : 229 pages
File Size : 51,7 Mb
Release : 2013-12-11
Category : Technology & Engineering
ISBN : 9783319030142

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Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems by Marcin Witczak Pdf

This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.

Author : Jan M. Kościelny,Michał Syfert,Anna Sztyber
Publisher : Springer
Page : 472 pages
File Size : 44,9 Mb
Release : 2017-07-28
Category : Technology & Engineering
ISBN : 9783319644745

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Advanced Solutions in Diagnostics and Fault Tolerant Control by Jan M. Kościelny,Michał Syfert,Anna Sztyber Pdf

This book highlights the latest achievements concerning the theory, methods and practice of fault diagnostics, fault tolerant systems and cyber safety. When considering the diagnostics of industrial processes and systems, increasingly important safety issues cannot be ignored. In this context, diagnostics plays a crucial role as a primary measure of the improvement of the overall system safety integrity level. Obtaining the desired diagnostic coverage or providing an appropriate level of inviolability of the integrity of a system is now practically inconceivable without the use of fault detection and isolation methods. Given the breadth and depth of its coverage, the book will be of interest to researchers faced with the challenge of designing technical and medical diagnosis systems, as well as junior researchers and students in the fields of automatic control, robotics, computer science and artificial intelligence.

Author : B. Wayne Bequette
Publisher : Unknown
Page : 0 pages
File Size : 52,6 Mb
Release : 2021
Category : Electronic
ISBN : 0134034066

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Process Control by B. Wayne Bequette Pdf

Author : Richard J. Fickelscherer
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 44,8 Mb
Release : 2024-02-21
Category : Science
ISBN : 9781119825890

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Artificial Intelligence in Process Fault Diagnosis by Richard J. Fickelscherer Pdf

Artificial Intelligence in Process Fault Diagnosis A comprehensive guide to the future of process fault diagnosis Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis. Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing. Artificial Intelligence in Process Fault Diagnosis readers will also find: Coverage of various AI-based diagnostic methodologies elaborated by leading experts Guidance for creating programs that can prevent catastrophic operating disasters, reduce downtime after emergency process shutdowns, and more Comprehensive overview of optimized best practices Artificial Intelligence in Process Fault Diagnosis is ideal for process control engineers, operating engineers working with processing industrial plants, and plant managers and operators throughout the various process industries.

Author : Brian Roffel,Ben Betlem
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 48,8 Mb
Release : 2004
Category : Computers
ISBN : 3540404805

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Advanced Practical Process Control by Brian Roffel,Ben Betlem Pdf

This text and reference offers an application-oriented approach to process control. It systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach.

Author : Raghunathan Rengaswamy,Babji Srinivasan,Nirav Pravinbhai Bhatt
Publisher : CRC Press
Page : 250 pages
File Size : 42,9 Mb
Release : 2020-05-31
Category : Technology & Engineering
ISBN : 9781000056204

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Process Control Fundamentals by Raghunathan Rengaswamy,Babji Srinivasan,Nirav Pravinbhai Bhatt Pdf

The field of process control has evolved gradually over the years, with emphasis on key aspects including designing and tuning of controllers. This textbook covers fundamental concepts of basic and multivariable process control, and important monitoring and diagnosis techniques. It discusses topics including state-space models, Laplace transform to convert state-space models to transfer function models, linearity and linearization, inversion formulae, conversion of output to time domain, stability analysis through partial fraction expansion, and stability analysis using Routh table and Nyquits plots. The text also covers basics of relative gain array, multivariable controller design and model predictive control. The text comprehensively covers minimum variable controller (MVC) and minimum variance benchmark with the help of solved examples for better understanding. Fundamentals of diagnosis of control loop problems are also explained and explanations are bolstered through solved examples. Pedagogical features including solved problems and unsolved exercises are interspersed throughout the text for better understanding. The textbook is primarily written for senior undergraduate and graduate students in the field of chemical engineering and biochemical engineering for a course on process control. The textbook will be accompanied by teaching resource such a collection of slides for the course material and a includsolution manual for the instructors.

Author : Marcin Mrugalski
Publisher : Springer
Page : 182 pages
File Size : 41,8 Mb
Release : 2013-08-04
Category : Technology & Engineering
ISBN : 9783319015477

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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis by Marcin Mrugalski Pdf

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.

Author : Krzysztof J. Latawiec,Marian Łukaniszyn,Rafał Stanisławski
Publisher : Springer
Page : 296 pages
File Size : 50,6 Mb
Release : 2014-08-16
Category : Technology & Engineering
ISBN : 9783319099002

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Advances in Modelling and Control of Non-integer-Order Systems by Krzysztof J. Latawiec,Marian Łukaniszyn,Rafał Stanisławski Pdf

This volume presents selected aspects of non-integer, or fractional order systems, whose analysis, synthesis and applications have increasingly become a real challenge for various research communities, ranging from science to engineering. The spectrum of applications of the fractional order calculus has incredibly expanded, in fact it would be hard to find a science/engineering-related subject area where the fractional calculus had not been incorporated. The content of the fractional calculus is ranged from pure mathematics to engineering implementations and so is the content of this volume. The volume is subdivided into six parts, reflecting particular aspects of the fractional order calculus. The first part contains a single invited paper on a new formulation of fractional-order descriptor observers for fractional-order descriptor continous LTI systems. The second part provides new elements to the mathematical theory of fractional-order systems. In the third part of this volume, a bunch of new results in approximation, modeling and simulations of fractional-order systems is given. The fourth part presents new solutions to some problems in controllability and control of non-integer order systems, in particular fractional PID-like control. The fifth part analyzes the stability of non-integer order systems and some new results are offered in this important respect, in particular for discrete-time systems. The final, sixth part of this volume presents a spectrum of applications of the noninteger order calculus, ranging from bi-fractional filtering, in particular of electromyographic signals, through the thermal diffusion and advection diffusion processes to the SIEMENS platform implementation. This volume's papers were all subjected to stimulating comments and discussions from the active audience of the RRNR'2014, the 6th Conference on Non-integer Order Calculus and Its Applications that was organized by the Department of Electrical, Control and Computer Engineering, Opole University of Technology, Opole, Poland.