Fault detection and diagnosis in industrial systems /
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 a...
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| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
London ; New York :
Springer,
[2001]
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| Series: | Advanced textbooks in control and signal processing.
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| Subjects: | |
| Online Access: | Table of contents only Publisher description |
| Summary: | 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. |
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| Physical Description: | xiv, 279 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references (pages [255]-273) and index. |
| ISBN: | 1852333278 (acid-free paper) 9781852333270 (acid-free paper) |