LSTM autoencoder–based real-time anomaly detection for univariate hydraulic turbine time-series data

Year of Publication : 
Author: 
Atsafack, B. M., Juma, D., Rushingabigwi, G., & Kabiri, C.
Research Discipline: 
Publication type: 
Publisher: 
ieeexplore.ieee.org
Volume: 
NA
Issue: 
NA
Journal Name: 
IEEE Sensors Journal