Anomaly detection of wind turbines based on deep small-world neural network

Anomaly detection of wind turbines based on deep small-world neural network

10.3390/app10041243

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Bibliographic Details
Main Authors: Li, M., Wang, S., Fang, S., Zhao, J.
Other Authors: MECHANICAL ENGINEERING
Format: Article
Published: MDPI AG 2021
Subjects:
Adaptive threshold
Deep small-world neural network (DSWNN)
Fault diagnosis
Supervisory control and data acquisition (SCADA) data
Wind turbine
Online Access:https://scholarbank.nus.edu.sg/handle/10635/198834
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/198834

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