Clustering and Deep Learning Techniques for Structural Health Monitoring

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Clustering and Deep Learning Techniques for Structural Health Monitoring

This thesis proposes the development and application of clustering and deep learning techniques for improved automated modal identification, lost vibration data recovery, vibration signal denoising, and dynamic response reconstruction under operational and extreme loading conditions in the area of s...

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Bibliographic Details
Main Author:	Fan, Gao
Format:	Thesis
Published:	Curtin University 2020
Online Access:	http://hdl.handle.net/20.500.11937/80611

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