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

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...

Full description

Bibliographic Details
Main Authors: Luan Carlos de Sena Monteiro Ozelim, Lucas Parreira de Faria Borges, André Luís Brasil Cavalcante, Enzo Aldo Cunha Albuquerque, Mariana dos Santos Diniz, Manuelle Santos Góis, Katherin Rocio Cano Bezerra da Costa, Patrícia Figuereido de Sousa, Ana Paola do Nascimento Dantas, Rafael Mendes Jorge, Gabriela Rodrigues Moreira, Matheus Lima de Barros, Fernando Rodrigo de Aquino
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
structural monitoring
dams
geotechnical engineering
deep learning
autoencoder
fuzzy logic
Online Access:https://www.mdpi.com/1424-8220/22/7/2482

Similar Items

Similar Items