Quality recognition and prediction smarter pattern technology with the Mahalanobis-Taguchi system /

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Bibliographic Details
Main Author: Teshima, Shoichi
Other Authors: Hasegawa, Yoshiko, Tatebayashi, Kazuo
Format: Electronic eBook
Language:English
Published: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Momentum Press, 2012.
Edition:1st ed.
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Online Access:An electronic book accessible through the World Wide Web; click to view
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Table of Contents:
  • Foreword
  • Preface
  • Acknowledgments
  • 1. Pattern recognition and the MT system
  • 1.1 Overview of pattern recognition and the fields of application
  • 1.2 Standard execution procedure for pattern recognition
  • 1.3 Fields with substantial experience in the use of MT system applications
  • 2. Merits of the MT system and its computation methods
  • 2.1 Characteristics shared by all MT system components
  • 2.2 Features of the MT method
  • 2.3 Features of the T method
  • 2.4 The MT system computation formulas
  • 3. Data handled by the MT system and feature extraction
  • 3.1 Use of measured values in an unmodified form
  • 3.2 Performing feature extraction
  • 3.3 Feature extraction technique from character pattern
  • 3.4 Feature extraction technique from waveform pattern
  • 3.5 Differences between other waveform features and variation values/abundance values
  • 4. MT method application procedure and important points to heed
  • 4.1 Example of character recognition
  • 4.2 Example of weather prediction
  • 5. T method application procedures and key points
  • 5.1 Yield prediction for manufacturing-production using T method-1
  • 5.2 Character pattern recognition using the RT method
  • 6. Examples of actual applications
  • 6.1 Blade wear monitoring via cutting vibration waveform (MT method)
  • 6.2 Appearance inspection of a clutch disk
  • 6.3 Monitoring of machine conditions (MT method)
  • 6.4 Application to medical diagnosis (MT method)
  • 6.5 Strength estimation based on raw material mixing (T method-1)
  • 6.6. Real estate price prediction by T method-1
  • Appendices
  • A. Differences between the MT system and artificial intelligence
  • B. Difference between the MT system and traditional statistical theory
  • C. Supplementary considerations concerning mathematical formulas
  • D. Strategy to use when data incorporates unmeasured values
  • E. Fusion with artificial intelligence and other resources
  • F. Mahalanobis distance computation using Microsoft Excel
  • G. Paley's construct for generation of Hadamard matrice
  • Bibliography and reference sources
  • Bibliography (in English)
  • Bibliography (in Japanese)
  • References
  • Glossary: definition of terms
  • Index
  • About the authors.