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Analysis And Control Of Industrial Processes
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Book Synopsis Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals by : Hans J Pasman
Download or read book Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals written by Hans J Pasman and published by Butterworth-Heinemann. This book was released on 2015-06-14 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals provides an analysis of current approaches for preventing disasters, and gives readers an overview on which methods to adopt. The book covers safety regulations, history and trends, industrial disasters, safety problems, safety tools, and capital and operational costs versus the benefits of safety, all supporting project decision processes. Tools covered include present day array of risk assessment, tools including HAZOP, LOPA and ORA, but also new approaches such as System-Theoretic Process Analysis (STPA), Blended HAZID, applications of Bayesian data analytics, Bayesian networks, and others. The text is supported by valuable examples to help the reader achieve a greater understanding on how to perform safety analysis, identify potential issues, and predict the likelihood they may appear. - Presents new methods on how to identify hazards of low probability/high consequence events - Contains information on how to develop and install safeguards against such events, with guidance on how to quantify risk and its uncertainty, and how to make economic and societal decisions about risk - Demonstrates key concepts through the use of examples and relevant case studies
Book Synopsis Advanced Control of Industrial Processes by : Piotr Tatjewski
Download or read book Advanced Control of Industrial Processes written by Piotr Tatjewski and published by Springer Science & Business Media. This book was released on 2007-02-23 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the concepts and algorithms of advanced industrial process control and on-line optimization within the framework of a multilayer structure. It describes the interaction of three separate layers of process control: direct control, set-point control, and economic optimization. The book features illustrations of the methodologies and algorithms by worked examples and by results of simulations based on industrial process models.
Book Synopsis Industrial Process Identification and Control Design by : Tao Liu
Download or read book Industrial Process Identification and Control Design written by Tao Liu and published by Springer Science & Business Media. This book was released on 2011-11-16 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.
Book Synopsis Overview of Industrial Process Automation by : K.L.S. Sharma
Download or read book Overview of Industrial Process Automation written by K.L.S. Sharma and published by Elsevier. This book was released on 2016-10-25 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overview of Industrial Process Automation, Second Edition, introduces the basics of philosophy, technology, terminology, and practices of modern automation systems through the presentation of updated examples, illustrations, case studies, and images. This updated edition adds new developments in the automation domain, and its reorganization of chapters and appendixes provides better continuity and seamless knowledge transfer. Manufacturing and chemical engineers involved in factory and process automation, and students studying industrial automation will find this book to be a great, comprehensive resource for further explanation and study. - Presents a ready made reference that introduces all aspects of automation technology in a single place with day-to-day examples - Provides a basic platform for the understanding of industry literature on automation products, systems, and solutions - Contains a guided tour of the subject without the requirement of any previous knowledge on automation - Includes new topics, such as factory and process automation, IT/OT Integration, ISA 95, Industry 4.0, IoT, etc., along with safety systems in process plants and machines
Book Synopsis Soft Sensors for Monitoring and Control of Industrial Processes by : Luigi Fortuna
Download or read book Soft Sensors for Monitoring and Control of Industrial Processes written by Luigi Fortuna and published by Springer Science & Business Media. This book was released on 2007-05-31 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.
Book Synopsis Model Predictive Control in the Process Industry by : Eduardo F. Camacho
Download or read book Model Predictive Control in the Process Industry written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.
Book Synopsis Capturing Connectivity and Causality in Complex Industrial Processes by : Fan Yang
Download or read book Capturing Connectivity and Causality in Complex Industrial Processes written by Fan Yang and published by Springer Science & Business Media. This book was released on 2014-04-01 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms, structural properties and their dynamic behaviour, especially for fault diagnosis and hazard analysis. Fault detection and isolation for industrial processes being concerned with root causes and fault propagation, the brief shows that, process connectivity and causality information can be captured in two ways: · from process knowledge: structural modeling based on first-principles structural models can be merged with adjacency/reachability matrices or topology models obtained from process flow-sheets described in standard formats; and · from process data: cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian networks can be used to identify pair-wise relationships and network topology. These methods rely on the notion of information fusion whereby process operating data is combined with qualitative process knowledge, to give a holistic picture of the system.
Book Synopsis Multivariate Statistical Process Control with Industrial Applications by : Robert L. Mason
Download or read book Multivariate Statistical Process Control with Industrial Applications written by Robert L. Mason and published by SIAM. This book was released on 2002-01-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.
Book Synopsis Process Oriented Analysis by : Urs B. Meyer
Download or read book Process Oriented Analysis written by Urs B. Meyer and published by CRC Press. This book was released on 2006-09-18 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern manufacturing, it is not simply the equipment that is increasingly complex but rather the entire business system in which a company operates. Convoluted supply chains, complicated resource flows, advanced information systems: all must be taken into account when designing or reengineering a manufacturing system. Introducing a powerful yet
Book Synopsis Fault Detection and Diagnosis in Industrial Systems by : L.H. Chiang
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.
Book Synopsis Industrial Digital Control Systems by : K. Warwick
Download or read book Industrial Digital Control Systems written by K. Warwick and published by IET. This book was released on 1988 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes: Digital signals and systems. Digital controllers for process control applications. Design of digital controllers. Control of time delay systems. State-space concepts. System identification. Introduction to discrete optimal control. Multivariable control. Adaptive control. Computer aided design for industrial control systems. Reliability and redundancy in microprocessor controllers. Software and hardware aspects of industrial controller implementations. Application of distributed digital control algorithms to power stations. An expert system for process control.
Book Synopsis PID Control for Industrial Processes by : Mohammad Shamsuzzoha
Download or read book PID Control for Industrial Processes written by Mohammad Shamsuzzoha and published by BoD – Books on Demand. This book was released on 2018-09-12 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: PID Control for Industrial Processes presents a clear, multidimensional representation of proportional - integral - derivative (PID) control for both students and specialists working in the area of PID control. It mainly focuses on the theory and application of PID control in industrial processes. It incorporates recent developments in PID control technology in industrial practice. Emphasis has been given to finding the best possible approach to develop a simple and optimal solution for industrial users. This book includes several chapters that cover a broad range of topics and priority has been given to subjects that cover real-world examples and case studies. The book is focused on approaches for controller tuning, i.e., method bases on open-loop plant tests and closed-loop experiments.
Book Synopsis The Integration of Process Design and Control by : Panos Seferlis
Download or read book The Integration of Process Design and Control written by Panos Seferlis and published by Elsevier. This book was released on 2004-05-06 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, process design and control system design are performed sequentially. It is only recently displayed that a simultaneous approach to the design and control leads to significant economic benefits and improved dynamic performance during plant operation. Extensive research in issues such as 'interactions of design and control', 'analysis and design of plant wide control systems', 'integrated methods for design and control' has resulted in impressive advances and significant new technologies that have enriched the variety of instruments available for the design engineer in her endeavour to design and operate new processes. The field of integrated process design and control has reached a maturity level that mingles the best from process knowledge and understanding and control theory on one side, with the best from numerical analysis and optimisation on the other. Direct implementation of integrated methods should soon become the mainstream design procedure. Within this context 'The Integration of Process Design and Control', bringing together the developments in a variety of topics related to the integrated design and control, will be a real asset for design engineers, practitioners and researchers. Although the individual chapters reach a depth of analysis close to the frontier of current research status, the structure of the book and the autonomous nature of the chapters make the book suitable for a newcomer in the area. The book comprises four distinct parts: Part A: Process characterization and controllability analysisPart B: Integrated process design and control ⊣ MethodsPart C: Plant wide interactions of design and controlPart D: Integrated process design and control ⊣ Extensions By the end of the book, the reader will have developed a commanding comprehension of the main aspects of integrated design and control, the ability to critically assess the key characteristics and elements related to the interactions between design and control and the capacity to implement the new technology in practice. * This book brings together the latest developments in a variety of topics related to integrated design and control.* It is a valuable asset for design engineers, practitioners and researchers.* The structure of the book and the nature of its chapters also make it suitable for a newcomer to the field.
Book Synopsis Data-Driven Fault Detection and Reasoning for Industrial Monitoring by : Jing Wang
Download or read book Data-Driven Fault Detection and Reasoning for Industrial Monitoring written by Jing Wang and published by Springer Nature. This book was released on 2022-01-03 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.
Book Synopsis Data-Driven Fault Detection for Industrial Processes by : Zhiwen Chen
Download or read book Data-Driven Fault Detection for Industrial Processes written by Zhiwen Chen and published by Springer. This book was released on 2017-01-02 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.
Book Synopsis Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes by : Salvador Avila Filho
Download or read book Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes written by Salvador Avila Filho and published by Elsevier. This book was released on 2022-03-23 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human reliability is an issue that is increasingly discussed in the process and manufacturing industries to check factors that influence operator performance and trigger errors. Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes: An Operational Culture Perspective provides a multidisciplinary analysis of work concepts and environments to reduce human error and prevent material, energy, image, and time losses. The book presents a methodology for the quantification and investigation of human reliability, and verification of the influence of human factors in the generation of process losses, consisting of the following steps: contextualization, data collection, and results; performing task and loss observation; socio-technical variable analyses; and data processing. Investigating human reliability, concepts, and models in situations of human error in practice, the book identifies where low reliability occurs and then visualizes where and how to perform an intervention. This guide is an excellent resource for professionals in chemical, petrochemical, oil, and nuclear industries for managing and analyzing safety and loss risks and for students in chemical and process engineering. - Relates human reliability to the environment, leadership, decision models, possible mistakes and successes, mental map constructions, and organizational cultures - Provides techniques for the diagnosis of human and operational reliability - Gives examples of the application of methodologies in the stage of diagnosis and program construction - Discusses competences for the analysis of process losses in industry - Investigates real-life situations where human errors cause losses - Includes practical examples and case studies
Book Synopsis Multivariate Statistical Process Control by : Zhiqiang Ge
Download or read book Multivariate Statistical Process Control written by Zhiqiang Ge and published by Springer Science & Business Media. This book was released on 2012-11-28 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for complex process monitoring. These new methods are demonstrated in several case studies from the chemical, biological, and semiconductor industrial areas. Control and process engineers, and academic researchers in the process monitoring, process control and fault detection and isolation (FDI) disciplines will be interested in this book. It can also be used to provide supplementary material and industrial insight for graduate and advanced undergraduate students, and graduate engineers. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
