Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost
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Title
Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost
Authors
Keywords
Wind turbine, Anomaly detection and diagnosis, Long short-term memory (LSTM), Stacked denoising autoencoders (SDAE), Mahalanobis distance (MD), XGBoost
Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 222, Issue -, Pages 108445
Publisher
Elsevier BV
Online
2022-03-07
DOI
10.1016/j.ress.2022.108445
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