Structural Health Monitoring Using Machine Learning and Cumulative Absolute Velocity Features

Machine learning (ML)-aided structural health monitoring (SHM) can rapidly evaluate the safety and integrity of the aging infrastructure following an earthquake. The conventional damage features used in ML-based SHM methodologies face the <i>curse of dimensionality</i>. This paper introd...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Sifat Muin, Khalid M. Mosalam
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Subjects:	cumulative absolute velocity earthquake damage assessment machine learning structural health monitoring
Online Access:	https://www.mdpi.com/2076-3417/11/12/5727