Hierarchical structural health monitoring for health management of mechanical assets by digital twin

A practical structural health monitoring has been proposed for evaluating the structural health of a whole mechanical asset by using digital twin with data collected during the operation of the asset. Digital twin can be utilized to predict the remaining useful life by estimating the variation of th...

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Bibliographic Details

Published in:	Nihon Kikai Gakkai ronbunshu
Main Authors:	Norio TAKEDA, Tatsuya KAMEYAMA
Format:	Article
Language:	Japanese
Published:	The Japan Society of Mechanical Engineers 2022-06-01
Subjects:	structural health monitoring digital twin remaining useful life damage maintanance machine learning health management
Online Access:	https://www.jstage.jst.go.jp/article/transjsme/88/910/88_22-00095/_pdf/-char/en