Structural Health Monitoring of Dams Based on Acoustic Monitoring, Deep Neural Networks, Fuzzy Logic and a CUSUM Control Algorithm

Internal erosion is the most important failure mechanism of earth and rockfill dams. Since this type of erosion develops internally and silently, methodologies of data acquisition and processing for dam monitoring are crucial to guarantee a safe operation during the lifespan of these structures. In...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Sensors (Basel, Switzerland) Ročník 22; číslo 7; s. 2482
Hlavní autoři:	Ozelim, Luan Carlos de Sena Monteiro, Borges, Lucas Parreira de Faria, Cavalcante, André Luís Brasil, Albuquerque, Enzo Aldo Cunha, Diniz, Mariana dos Santos, Góis, Manuelle Santos, Costa, Katherin Rocio Cano Bezerra da, Sousa, Patrícia Figuereido de, Dantas, Ana Paola do Nascimento, Jorge, Rafael Mendes, Moreira, Gabriela Rodrigues, Barros, Matheus Lima de, Aquino, Fernando Rodrigo de
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 24.03.2022 MDPI
Témata:	20th century Acoustics Algorithms Artificial Intelligence autoencoder Civil engineering Concrete Construction Control algorithms dams deep learning Engineering firms Failure Fuzzy Logic geotechnical engineering Neural Networks, Computer Sensors Soil erosion structural monitoring deep learning autoencoder structural monitoring fuzzy logic CUSUM algorithm geotechnical engineering dams
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!