Deep residual network framework for structural health monitoring

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Deep residual network framework for structural health monitoring

Convolutional neural networks have been widely employed for structural health monitoring and damage identification. The convolutional neural network is currently considered as the state-of-the-art method for structural damage identification due to its capabilities of efficient and robust feature lea...

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Bibliographic Details
Main Authors:	Wang, Ruhua, Chencho, An, Senjian, Li, Jun, Li, Ling, Hao, Hong, Liu, Wan-Quan
Format:	Journal Article
Language:	English
Published:	SAGE PUBLICATIONS LTD 2021
Subjects:	Science & Technology Technology Engineering, Multidisciplinary Instruments & Instrumentation Engineering Residual networks deep learning structural health monitoring damage identification uncertainties measurement noise DAMAGE IDENTIFICATION NEURAL-NETWORK
Online Access:	http://purl.org/au-research/grants/arc/FT190100801 http://hdl.handle.net/20.500.11937/90890

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