L. H. Chiang, E. L. Russell, R. D. Braatz

Fault Detection and Diagnosis in Industrial Systems (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer London
• Seitenzahl: 279
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781447103479
• Artikelnr.: 44062979

Inhaltsangabe

I. Introduction.- 1. Introduction.- II. Background.- 2. Multivariate Statistics.- 3. Pattern Classification.- III. Data-driven Methods.- 4. Principal Component Analysis.- 5. Fisher Discriminant Analysis.- 6. Partial Least Squares.- 7. Canonical Variate Analysis.- IV. Application.- 8. Tennessee Eastman Process.- 9. Application Description.- 10. Results and Discussion.- V. Analytical and Knowledge-based Methods.- 11. Analytical Methods.- 12. Knowledge-based Methods.- References.