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Wavelets

Theory and Applications for Manufacturing

  • Book
  • © 2011

Overview

Authors:
  1. Robert X Gao

    1. Department of Mechanical Engineering, The University of Connecticut, Storrs, USA

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  2. Ruqiang Yan

    1. , School of Instrument Science and Enginee, Southeast University, Nanjing, China, People's Republic

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Provides a comprehensive survey on wavelets specifically related to problems encountered in manufacturing
  • Covers the similarities and differences between wavelet transform and other analytical techniques commonly used on the factory floor for signal processing
  • Discusses the integration of wavelet transforms with other soft computing techniques such as fuzzy logic, for machine defect and severity classification
  • Shows how to custom design wavelets for improved performance in signal analysis
  • Includes supplementary material: sn.pub/extras

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Signals and Signal Processing in Manufacturing

    • Robert X. Gao, Ruqiang Yan
    Pages 1-15

  3. From Fourier Transform to Wavelet Transform: A Historical Perspective

    • Robert X. Gao, Ruqiang Yan
    Pages 17-32

  4. Continuous Wavelet Transform

    • Robert X. Gao, Ruqiang Yan
    Pages 33-48

  5. Discrete Wavelet Transform

    • Robert X. Gao, Ruqiang Yan
    Pages 49-68

  6. Wavelet Packet Transform

    • Robert X. Gao, Ruqiang Yan
    Pages 69-81

  7. Wavelet-Based Multiscale Enveloping

    • Robert X. Gao, Ruqiang Yan
    Pages 83-101

  8. Wavelet Integrated with Fourier Transform: A Unified Technique

    • Robert X. Gao, Ruqiang Yan
    Pages 103-124

  9. Wavelet Packet-Transform for Defect Severity Classification

    • Robert X. Gao, Ruqiang Yan
    Pages 125-147

  10. Local Discriminant Bases for Signal Classification

    • Robert X. Gao, Ruqiang Yan
    Pages 149-163

  11. Selection of Base Wavelet

    • Robert X. Gao, Ruqiang Yan
    Pages 165-187

  12. Designing Your Own Wavelet

    • Robert X. Gao, Ruqiang Yan
    Pages 189-203

  13. Beyond Wavelets

    • Robert X. Gao, Ruqiang Yan
    Pages 205-220

  14. Back Matter

    Pages 221-224
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Keywords

About this book

Wavelets: Theory and Applications for Manufacturing presents a systematic description of the fundamentals of wavelet transform and its applications. Given the widespread utilization of rotating machines in modern manufacturing and the increasing need for condition-based, as opposed to fix-interval, intelligent maintenance to minimize machine down time and ensure reliable production, it is of critical importance to advance the science base of signal processing in manufacturing. This volume also deals with condition monitoring and health diagnosis of rotating machine components and systems, such as bearings, spindles, and gearboxes, while also: -Providing a comprehensive survey on wavelets specifically related to problems encountered in manufacturing -Discussing the integration of wavelet transforms with other soft computing techniques such as fuzzy logic, for machine defect and severity classification -Showing how to custom design wavelets for improved performance in signal analysis Focusing on wavelet transform as a tool specifically applied and designed for applications in manufacturing, Wavelets: Theory and Applications for Manufacturing presents material appropriate for both academic researchers and practicing engineers working in the field of manufacturing.

Reviews

From the reviews:

“The book presents the theory and practice of wavelets and shows applicability of the wavelet transform to solve the problems typically encountered in various fields of engineering. … The book can be recommended for both researches and practitioners working in the field of manufacturing.” (Zygmunt Hasiewicz, Zentralblatt MATH, Vol. 1227, 2012)

Authors and Affiliations

  • Department of Mechanical Engineering, The University of Connecticut, Storrs, USA

    Robert X Gao

  • , School of Instrument Science and Enginee, Southeast University, Nanjing, China, People's Republic

    Ruqiang Yan

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