Supervision and Control for Industrial Processes : Using Grey Box Models, Predictive Control and Fault Detection Methods /
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 exac...
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| Format: | eBook |
| Language: | English |
| Published: |
London :
Springer London,
1998.
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| Series: | Advances in industrial control.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xvii, 230 pages 79 illustrations) |
| Format: | 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. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781447115588 (electronic bk.) 1447115589 (electronic bk.) |
| ISSN: | 1430-9491 |