Structural Health Monitoring: A Machine Learning Perspective

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November 19, 2012
Cited by 1,082

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.


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