Structural Health Monitoring: A Machine Learning Perspective
Books

Structural Health Monitoring: A Machine Learning Perspective

by Charles R. Farrar

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.

Status: Available For Purchase

Regular price
SGD 249.26
Sale price
SGD 249.26
Regular price
SGD 249.26
Unit price
per 
Tax included.
**Only 4 left in stock.

Delivered within 8 business days

Product Details

  • Number of Pages : 654
  • Publisher : John Wiley
  • Weight : 1396g
  • Product Code : 9781119994336