bookNov 19, 2012Closed access

Structural Health Monitoring: A Machine Learning Perspective

Abstract

This book focuses on structural health monitoring in the context of machine learning. The authors review the technical literature and include case studies. Chapters include: operational evaluation, sensing and data acquisition, introduction to probability and statistics, machine learning and statistical pattern recognition, and data prognosis.

Citation impact

1,082
total citations
FWCI
39.67
Percentile
100%
References
61
Citations per year

Authors

2

Topics & keywords

Keywords
  • Perspective (graphical)
  • Computer science
  • Context (archaeology)
  • Machine learning
  • Artificial intelligence
  • Data science
  • Statistical learning
  • Geography
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