প্রচ্ছদ

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

অন্যান্য সংস্করণ প্রদর্শন করুন (1)
সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Teshima, Shoichi
অন্যান্য লেখক: Hasegawa, Yoshiko, Tatebayashi, Kazuo
বিন্যাস: বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ
ভাষা:ইংরেজি
প্রকাশিত: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Momentum Press, 2012.
সংস্করন:1st ed.
বিষয়গুলি:
Taguchi methods (Quality control)
Pattern recognition systems.
Quality control > Statistical methods.
Mahalanobis-Taguchi System
pattern recognition
pattern prediction
Mahalanobis distance
Taguchi Method
Quality Engineering
Quality Prediction
Quality Recognition
diagnostics
MTS
MT-Method
T-Method
Unit Space
appearance inspection
SN Ratio
inspection
medical inspection
medical diagnosis
plant monitoring
medical monitoring
অনলাইন ব্যবহার করুন:An electronic book accessible through the World Wide Web; click to view
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
সূচিপত্রের সারণি:
  • 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.

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