Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning
Most modern hydroelectric dams are equipped with state-of-the-art sensors to measure and detect irregularities as part of a comprehensive safety-monitoring system. To better prevent future disasters, machine-learning algorithms have been employed. Often, these algorithms are trained on historical se...
Saved in:
Main Authors: | Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui |
---|---|
Format: | Article |
Language: | English |
Published: |
Tamkang University Press
2025-01-01
|
Series: | Journal of Applied Science and Engineering |
Subjects: | |
Online Access: | http://jase.tku.edu.tw/articles/jase-202509-28-09-0001 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Physicalities in Transition: The Case of Hydropower Dams in French Alpine Valleys
by: Emmanuelle Santoire, et al.
Published: (2021-12-01) -
An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection
by: Faleh Alshameri, et al.
Published: (2024-09-01) -
Alpine dams
by: Alain Marnezy
Published: (2008-03-01) -
De Geisel à Bolsonaro, 50 anos de resiliência dos projetos hidrelétricos da Amazônia
by: Céline Broggio, et al.
Published: (2019-10-01) -
Regional policy and hydroelectric resources
by: Franco Romerio
Published: (2008-03-01)