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Fault Detection and Diagnosis in Industrial Systems
Chiang, Leo H.; Russell, Evan L. (Exxonmobil Upstream Research Company, Houston, Tx, Usa); Braatz, Richard D.
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Description for Fault Detection and Diagnosis in Industrial Systems
paperback. Early and accurate fault detection and diagnosis for modern manufacturing processes can minimize downtime, increase the safety of plant operations, and reduce costs. Such process monitoring techniques are regularly applied to real industrial systems. This book presents a theoretical background and practical methods for process monitoring. Series: Advanced Textbooks in Control and Signal Processing. Num Pages: 293 pages, 5 black & white illustrations, biography. BIC Classification: TGPQ; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 15. Weight in Grams: 419.
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: Data-driven methods - principal component analysis, Fisher discriminant analysis, partial least squares and canonical variate analysis; Analytical Methods - parameter estimation, observer-based methods and parity relations; Knowledge-based methods - causal analysis, expert ... Read more
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: Data-driven methods - principal component analysis, Fisher discriminant analysis, partial least squares and canonical variate analysis; Analytical Methods - parameter estimation, observer-based methods and parity relations; Knowledge-based methods - causal analysis, expert ... Read more
Product Details
Format
Paperback
Publication date
2000
Publisher
Springer London Ltd United Kingdom
Number of pages
293
Condition
New
Series
Advanced Textbooks in Control and Signal Processing
Number of Pages
279
Place of Publication
England, United Kingdom
ISBN
9781852333270
SKU
V9781852333270
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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