Bi-LSTM Autoencoder SCADA based Unsupervised Anomaly Detection in Real Wind Farm Data
Author:
Affiliation:
1. Laris Polytech Angersx,Angers,France
2. Lebanese International University LIU,SDM Group,Beirut,Lebanon
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625768/10626308/10626815.pdf?arnumber=10626815
Reference17 articles.
1. Low-emissions sources of electricity
2. Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
3. Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
4. Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network
5. Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges
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