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

• 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
• Institution: National University of Singapore

10.3390/app10041243