Anomaly detection of defects on concrete structures with the convolutional autoencoder

•Deep learning model is applied for the anomaly detection of concrete defects.•The model training is in the unsupervised mode, with no label needed.•This anomaly detection technique is adaptable to defects on wide ranges of scales.•The technique outperforms classical automatic methods in concrete de...

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Vydané v:	Advanced engineering informatics Ročník 45; s. 101105
Hlavní autori:	Chow, J.K., Su, Z., Wu, J., Tan, P.S., Mao, X., Wang, Y.H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2020
Predmet:	Anomaly detection Concrete structure Convolutional autoencoder Cracking Spalling Unsupervised learning Cracking Spalling Convolutional autoencoder Anomaly detection Unsupervised learning Concrete structure
ISSN:	1474-0346, 1873-5320
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