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Wavelet Applications in Chemical Engineering

  • Rodolphe L. Motard
  • Babu Joseph

Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 272)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Xue-dong Dai, B. Joseph, R. L. Motard
    Pages 1-32
  3. S. Palavajjhala, R. L. Motard, B. Joseph
    Pages 33-83
  4. A. Joshi, A. Kumar, R. L. Motard
    Pages 85-113
  5. Xue-dong Dai, B. Joseph, R. L. Motard
    Pages 115-137
  6. Yugender Chikkula, Jay H. Lee
    Pages 175-208
  7. Michael Nikolaou, Yong You
    Pages 209-274
  8. Back Matter
    Pages 321-323

About this book

Introduction

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.

Keywords

algorithms chemical engineering control differential equation identification information mathematics modeling optimization processing quality sensor signal signal analysis signal processing

Editors and affiliations

  • Rodolphe L. Motard
    • 1
  • Babu Joseph
    • 1
  1. 1.Washington University in St. LouisSt. LouisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-2708-4
  • Copyright Information Kluwer Academic Publishers 1994
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-9461-7
  • Online ISBN 978-1-4615-2708-4
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site