Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder

Structural health monitoring (SHM) is a hot research topic with the main purpose of damage detection in a structure and assessing its health state. The major focus of SHM studies in recent years has been on developing vibration-based damage detection algorithms and using machine learning, especially...

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Vydané v:	Shock and vibration Ročník 2021; číslo 1
Hlavní autori:	Rastin, Zahra, Ghodrati Amiri, Gholamreza, Darvishan, Ehsan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo Hindawi 2021 John Wiley & Sons, Inc Wiley
Predmet:	Algorithms Analysis Concrete Convolution Damage detection Data collection Deep learning Fault diagnosis Feature extraction Fuzzy logic Localization Machine learning Methods Neural networks Numerical models Prestressed concrete Principal components analysis Public health Structural damage Structural health monitoring Support vector machines Training Vibration Wavelet transforms
ISSN:	1070-9622, 1875-9203
On-line prístup:	Získať plný text
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