Structural Health Monitoring
eBook - ePub

Structural Health Monitoring

A Machine Learning Perspective

Charles R. Farrar, Keith Worden

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Structural Health Monitoring

A Machine Learning Perspective

Charles R. Farrar, Keith Worden

Book details
Table of contents
Citations

About This Book

Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM.

Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions.

Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors' detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies.

  • Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm
  • Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms
  • Benefits from extensive use of the authors' detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.

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Information

Publisher
Wiley
Year
2012
ISBN
9781118443217
Edition
1
Topic
Technology & Engineering
Subtopic
Civil Engineering
Index
Technology & Engineering

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Preface
  6. Acknowledgements
  7. Chapter 1: Introduction
  8. Chapter 2: Historical Overview
  9. Chapter 3: Operational Evaluation
  10. Chapter 4: Sensing and Data Acquisition
  11. Chapter 5: Case Studies
  12. Chapter 6: Introduction to Probability and Statistics
  13. Chapter 7: Damage-Sensitive Features
  14. Chapter 8: Features Based on Deviations from Linear Response
  15. Chapter 9: Machine Learning and Statistical Pattern Recognition
  16. Chapter 10: Unsupervised Learning – Novelty Detection
  17. Chapter 11: Supervised Learning – Classification and Regression
  18. Chapter 12: Data Normalisation
  19. Chapter 13: Fundamental Axioms of Structural Health Monitoring
  20. Chapter 14: Damage Prognosis
  21. Appendx A: Signal Processing for SHM
  22. Appendix B: Essential Linear Structural Dynamics
  23. Index