Advances in Industrial Control

Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Authors: Russell, Evan L., Chiang, Leo H., Braatz, Richard D.

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  • Covers a variety of data-driven process monitoring techniques
  • Includes detailed applications in chemical plant simulation
  • Includes homework problems to enable deeper comprehension of the text
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eBook 96,29 €
price for Spain (gross)
  • ISBN 978-1-4471-0409-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Softcover 145,79 €
price for Spain (gross)
  • ISBN 978-1-85233-258-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-1-4471-1133-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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 strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques.
The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.

Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-1-4471-0409-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 145,79 €
price for Spain (gross)
  • ISBN 978-1-85233-258-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-1-4471-1133-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
Authors
Series Title
Advances in Industrial Control
Copyright
2000
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-0409-4
DOI
10.1007/978-1-4471-0409-4
Softcover ISBN
978-1-85233-258-7
Softcover ISBN
978-1-4471-1133-7
Series ISSN
1430-9491
Edition Number
1
Number of Pages
XIII, 192
Number of Illustrations
41 b/w illustrations
Topics