Download or read book On line Fault Detection and Supervision in the Chemical Process Industries written by and published by . This book was released on 1999 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On line Fault Detection and Supervision in the Chemical Process Industries written by IFAC Workshop On-line Fault Detection and Supervision in the Chemical Process Industries and published by . This book was released on with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On line Fault Detection and Supervision in the Chemical Process Industries 1995 written by A. J. Morris and published by Pergamon. This book was released on 1996 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Paperback. These proceedings contain the papers from the IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries held in Newcastle-upon-Tyne, UK, 12-13 June 1995. The Workshop provided an ideal forum for academic and industrial researchers to discuss their experience and research results in this field. Topics covered included: Multivariate Methods, Neural Network Approaches, Supervision, Control & Diagnosis, Expert Systems, Learning & Dependable Systems, Performance & Fault Detection, Model Based Systems and Applications.
Download or read book On Line Fault Detection and Supervision in the Chemical Process Industries 1998 written by P.S. Dhurjati and published by Pergamon. This book was released on 1998-10-20 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of "On-Line Fault Detection and Supervision in the Chemical Process Industries" is relatively young. Major activity in this area has taken place only in the last fifteen years. The goals of the first workshop in Delaware were to discuss various methodologies necessary for solving industrial problems in fault diagnosis/supervision and to encourage interactions between academia and industry. This workshop also focused on development and evaluation of methodologies for on-line fault detection and supervision in the chemical process industries. It addressed theory, application, validation, performance and evaluation of methodologies such as parameter estimation, observers, parity equations, signal analysis methods, classification, rule-based systems with probabilistic approaches, fuzzy logic and neural networks. There are several trends that make the topic of this workshop especially relevant in today's world. The first is the tremendous advances made in automation and information technology that can potentially bring in an ever-increasing amount of information on to computer screens in the operating room of a plant. Avoiding problems of information overload and converting plant data to "on-line useful knowledge" is a key challenge. In some respects, one can draw parallels here to biological evolution where, over billions of years, human beings have evolved "mental models" to interpret the huge amount of information received through their senses. In the absence of the time advantage that evolution has had, we have to rely on methodologies such as those presented in this workshop to provide assistance to operators and engineers in interpreting plant information. A second trend that makes this field relevant in today's world is the increasing emphasis on environment and safety. Community activism and accidents such as those in Bhopal, India have caused media spotlights to be turned on the smallest of toxic releases or loss of life due to chemical accidents. The negative publicity generated by such events as well as the need to maintain the image of an environmentally conscious company make industry more sensitive to the issues of early detection of faults. The third trend that makes this field very relevant is that of the globalization of the world economy. Increasing globalization of the chemical process industry puts pressure on economic competitiveness and higher productivity. This implies reduced down-time due to faults, quick and flexible response of production to supply and demand changes, increasing reliance on automation and reduced personnel.
Download or read book On line Fault Detection and Supervision in the Chemical Process Industries 2001 written by G. Stephanopoulos and published by Elsevier Science & Technology. This book was released on 2001 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings contains papers from the IFAC Symposium on On-line Fault Detection and Supervision in the Chemical Process Industries (CHEMFAS-4), held in Jejudo Island, Korea, 7-8 June 2001. The proceedings includes theoretical contributions, as well as a wide range of industrial applications in process fault diagnosis, monitoring, and advanced supervision. The papers are organized around the following themes: fault detection and diagnosis, statistical and trend analysis, methodologies, sensor location and data reconciliation and applications. The driving forces for on-line fault detection and improved supervision of process operation include human safety, environmental safeguards, and equipment protection, as well as economic considerations such as the improvement of product quality, increased production, and so on. These diverse incentives, together with the development and evaluation of novel methodologies for on-line process supervision and management, form the focus of the symposium and of the papers in this Proceedings. Altogether over 60 papers are presented, covering strategies including model-based and data-driven approaches, as well as knowledge-based systems, statistical techniques, and AI-based pattern recognition techniques. All the work presented is at the cutting edge of research in this dynamic field.
Download or read book On Line Fault Detection and Supervision in the Chemical Process Industries written by P.S. Dhurjati and published by Pergamon. This book was released on 1993-04-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers presented at this Symposium were grouped into five major sections: Strategies for the detection and diagnosis of process faults; Modeling, validation, and interpretation of process trends; Supervision and control of chemical plants; Neural networks in process supervision and fault diagnosis. Industrial applications in process supervision and fault diagnosis; The fifty-two papers in this volume cover both theoretical and practical/implementational aspects of systems in the process control industry.
Download or read book On line Fault Detection and Supervision in the Chemical Process Industries written by and published by . This book was released on 1992 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Workshop on On line fault Detection and Supervision in the Chemical Process Industries written by International Federation of Automatic Control and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On line Fault Detection and Supervision in the Chemical Process Industries written by P. S. Dhurjati and published by . This book was released on 1992 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On line Fault Detection and Supervision in the Chemical Process Industries written by and published by . This book was released on with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Process Plant Instrumentation written by Miguel J. Bagajewicz and published by CRC Press. This book was released on 2000-11-27 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first in-depth presentation in book form of current analytical methods for optimal design, selection and evaluation of instrumentation for process plants. The presentation is clear, concise and systematic-providing process engineers with a valuable tool for improving quality, costs, safety, loss prevention, and production accounting. From Chapter 1 Introduction "Instrumentation is needed in process plants to obtain data that are essential to perform several activities. Among the most important are control, the assessment of the quality of products, production accounting... and the detection of failures related to safety. In addition, certain parameters than cannot be measured directly, such as heat exchanger, fouling or column deficiencies, are of interest. Finally, new techniques, such as on-line optimization, require the construction of reliable computer models for which the estimation of process parameters is essential. "This book concentrates on the tasks of determining the optimal set of measured variables and selecting the accuracy and reliability of the corresponding instruments. The goal is to obtain sufficiency accurate and reliable estimates of variables of interest while filtering bad data due to possible instrument malfunction. An additional goal is to observe and diagnose single and multiple process faults." From the Preface "There is a vast amount of literature devoted to the selection and good maintenance of instruments. This literature covers the selection of the right instrument for a particular range and system, but only after the desired accuracy and reliability of measurement have been established. Little has been written on how to systematically determine the right accuracy and reliability needed when selecting an instrument, much less how much redundancy is needed for a particular system. The key variables that needed estimation come from control requirements, as well as monitoring needs for safety, quality control and production accounting. These are the starting points of the design methodology. This book concentrates on determining the optimal accuracy and reliability of instruments and their location. To determine this, certain desired properties of the system of instruments are used as constraints while the cost is minimized. These properties, among others are variable observability, system reliability and precision of certain variables. "This book is not a textbook. Rather it is intended to be an organized collection of the most relevant work in this area.... It has been written with the intention of making it readable by engineers with some background in linear algebra, mathematical optimization and graph theory. It is organized so that the complexity of the sensor network design is addressed step by step." The information in this new book serves the needs of chemical and other process engineers involved in instrumentation and control, maintenance, plant operations, process design, process development, quality control, safety, and loss prevention. Illustrations and Tables The text is supplemented with more than 100 flow charts, diagrams and other schematics that illustrate procedures, systems and instrumentation. More than 70 tables provide useful reference data. The Author Dr. Miguel J. Bagajewicz brings to this new book his extensive experience in design, data management, teaching and writing in the area of process engineering. He received his M.S. and Ph.D. in Chemical Engineering from the California Institute of Technology. He is presently Associate Professor, School of Chemical Engineering and Materials Science, and Director, Center for Engineering Optimization at the University of Oklahoma. He is the author or co-author of more than 100 journal articles, conference presentations, and reports, and the author of articles on data reconciliation and sensor location in the Instrument Engineers' Handbook, fourth edition. He is a member of the American Institute of Chemical Engineers (AIChE), and on the executive committee of the Central Oklahoma Chapter.
Download or read book IFAC Workshop on On Line Fault Detection and Supervision in the Chemical Process Industries written by and published by . This book was released on 1995 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fault Detection and Diagnosis in Industrial Systems written by L.H. Chiang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.
Download or read book Fault Detection Supervision and Safety of Technical Processes 2003 SAFEPROCESS 2003 written by Marcel Staroswiecki and published by Elsevier. This book was released on 2004-02-27 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: A three-volume work bringing together papers presented at 'SAFEPROCESS 2003', including four plenary papers on statistical, physical-model-based and logical-model-based approaches to fault detection and diagnosis, as well as 178 regular papers.
Download or read book Intelligent Problem Solving Methodologies and Approaches written by Rasiah Logananthara and published by Springer. This book was released on 2003-07-31 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Fault Diagnosis written by Józef Korbicz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.
Download or read book Data driven Methods for Fault Detection and Diagnosis in Chemical Processes written by Evan L. Russell and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis. 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 nontrivial 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.
