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
-
An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection
by: Faleh Alshameri, et al.
Published: (2024-09-01) -
Wear - Sediment Quantity Correlation Model for Preventive Maintenance Scheduling of a Hydroelectric Power Plant
by: Kleber Zhañay, et al.
Published: (2025-01-01) -
Entre désir de nature et peur de l’abandon : quelles attentes paysagères après l’arasement des barrages hydroélectriques de la Sélune ?
by: Marie-Anne Germaine, et al.
Published: (2019-06-01) -
Algoritma K-Nearest Neighbor pada Kasus Dataset Imbalanced untuk Klasifikasi Kinerja Karyawan Perusahaan
by: Fitri Nuraeni, et al.
Published: (2024-07-01) -
“But Here Comes the Water…” —Dam-Induced Displacement and Resettlement in the Technological and Hydroelectric Landscapes of Portugal’s New State (1933–1974)
by: Pereira André
Published: (2024-12-01)