The Springer International Series in Engineering and Computer Science

Wavelet Applications in Chemical Engineering

Editors: Motard, Rodolphe L., Joseph, Babu (Eds.)

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About this book

Increasing emphasis on safety, productivity and quality control has provided an impetus to research on better methodologies for fault diagnosis, modeling, identification, control and optimization ofchemical process systems. One of the biggest challenges facing the research community is the processing of raw sensordata into meaningful information. Wavelet analysis is an emerging field of mathematics that has provided new tools and algorithms suited for the type of problems encountered in process monitoring and control. The concept emerged in the geophysical field as a result ofthe need for time-frequency analytical techniques. It has since been picked up by mathematicians and recognized as a unifying theory for many ofthe methodologies employed in the past in physics and signal processing. l Meyer states: "Wavelets are without doubt an exciting and intuitive concept. The concept brings with it a new way of thinking, which is absolutely essential and was entirely missing in previously existing algorithms. " The unification ofthe theory from these disciplines has led to applications of wavelet transforms in many areas ofscience and engineering including: • pattern recognition • signal analysis • time-frequency decomposition • process signal characterization and representation • process system modeling and identification • control system design, analysis and implementation • numerical solution ofdifferential equations • matrix manipulation About a year ago, in talking to various colleagues and co-workers, it became clear that a number of chemical engineers were fascinated with this new concept.

Table of contents (8 chapters)

  • Introduction to Wavelet Transform and Time-Frequency Analysis

    Dai, Xue-dong (et al.)

    Pages 1-32

  • Computational Aspects of Wavelets and Wavelet Transforms

    Palavajjhala, S. (et al.)

    Pages 33-83

  • Trend Analysis Using the Frazier-Jawerth Transform

    Joshi, A. (et al.)

    Pages 85-113

  • Process Signal Features Analysis

    Dai, Xue-dong (et al.)

    Pages 115-137

  • Learning at Multiple Resolutions: Wavelets as Basis Functions in Artificial Neural Networks, and Inductive Decision Trees

    Bakshi, Bhavik R. (et al.)

    Pages 139-174

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-1-4615-2708-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-0-7923-9461-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-1-4613-6166-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Wavelet Applications in Chemical Engineering
Editors
  • Rodolphe L. Motard
  • Babu Joseph
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
272
Copyright
1994
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-2708-4
DOI
10.1007/978-1-4615-2708-4
Hardcover ISBN
978-0-7923-9461-7
Softcover ISBN
978-1-4613-6166-4
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XIII, 323
Number of Illustrations and Tables
14 b/w illustrations
Topics