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Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Russell, Evan L. (Exxonmobil Upstream Research Company, Houston, Tx, Usa); Chiang, Leo H.; Braatz, Richard D.
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Description for Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Paperback. Series: Advances in Industrial Control. Num Pages: 205 pages, 41 black & white illustrations, biography. BIC Classification: TDC; TJFM; UMB. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 332.
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: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis.
The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the ... 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: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis.
The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer London Ltd United Kingdom
Number of pages
205
Condition
New
Series
Advances in Industrial Control
Number of Pages
192
Place of Publication
England, United Kingdom
ISBN
9781447111337
SKU
V9781447111337
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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