Vibration signal denoising for structural health monitoring by residual convolutional neural networks

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Vibration signal denoising for structural health monitoring by residual convolutional neural networks

In vibration based structural health monitoring (SHM), measurement noise inevitably exists in the vibration data, which significantly influences the usability and quality of measured vibration signals for structural identification and condition monitoring. As a result, there is a high demand for dev...

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Bibliographic Details
Main Authors:	Fan, G., Li, Jun, Hao, Hong
Format:	Journal Article
Language:	English
Published:	ELSEVIER SCI LTD 2020
Subjects:	Science & Technology Technology Engineering, Multidisciplinary Instruments & Instrumentation Engineering Denoising Modal identification Noise Residual convolutional neural network Structural health monitoring Vibration signal DAMAGE IDENTIFICATION FREQUENCY-DOMAIN SPEECH ENHANCEMENT FEATURE-EXTRACTION MODAL-ANALYSIS WAVELET SUBSTRUCTURE
Online Access:	http://purl.org/au-research/grants/arc/FL180100196 http://hdl.handle.net/20.500.11937/91514

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