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Supervision and Control for Industrial Processes
Using Grey Box Models, Predictive Control and Fault Detection Methods
1 online resource (xvii, 230 pages 79 illustrations)
Within the process industry, many economic benefits can be achieved by controlling industrial processes at a supervisory level. From an engineering viewpoint, this means using increasingly sophisticated techniques and state-of-the-art theory to optimise process through put and deliver ever more exacting property specifications. Supervision and Control for Industrial Processes considers ways of improving and developing processes using these new methods. In particular, the book demonstrates the use of the grey box modelling method to find an appropriate process model which can be used for control, fault detection and isolation at a supervisory level. This publication will be of particular interest to engineers and graduate students involved in the areas of process control, supervision of industrial processes and failure diagnosis.
Background -- Grey Box Modelling -- Background -- Model Construction -- Software Tools -- Application of Basic Modelling -- Modelling of the Rinsing Process -- Application of Augmentet Modelling -- Searching for an Appropriate Model -- Modelling Aspects -- Alternative Tank Models -- Real-Time Estimation -- Data Acquisition -- Off-line Identification -- On-Line Estimation -- Process Control -- Feedforward/Feedback Controller -- Combined Controller -- Non-Linear Optimal Controller -- Optimal Controller -- Process Supervision -- Terminology -- Supervision Methods -- Application of Supervision -- Fault Detection, Diagnosis and Identification -- Fault-related methods -- Application of methods -- References -- Subject Index.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
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Includes bibliographical references and index.