Joint damage detection of structures with noisy data by an effective deep learning framework using autoencoder-convolutional gated recurrent unit

Recent advances in chip and sensor technology allow a large amount of data to be collected for serving structural damage detection (SDD). However, how to efficiently utilize and transform these complex sensing data into useful engineering information has remained many challenges. One of the major ch...

Celý popis

Podrobná bibliografie

Vydáno v:	Ocean engineering Ročník 243; s. 110142
Hlavní autoři:	Truong, Tam T., Lee, Jaehong, Nguyen-Thoi, T.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2022
Témata:	Autoencoder-convolutional gated recurrent unit (A-CGRU) Frame structures Noisy data Structural joint damage detection Autoencoder-convolutional gated recurrent unit (A-CGRU) Frame structures Structural joint damage detection Noisy data
ISSN:	0029-8018, 1873-5258
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!