Machine learning on fault diagnosis in wind turbines

• Main Authors: Ng, Eddie Yin Kwee, Lim, Jian Tiong
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Materials; Machine Learning; Artificial Neural Network; Python; Extreme Gradient Boosting; K-Nearest Neighbours
• Online Access: https://hdl.handle.net/10356/163954
• Institution: Nanyang Technological University

With the improvement of wind turbine (WT) operation and maintenance (O&M) technologies and the rise of O&M cost, the fault diagnostic in WT based on supervisory control and data acquisition (SCADA) system has become one of the cheapest and easiest method to detect early alarm of fault in WT....