Machine learning on fault diagnosis in wind turbines

• المؤلفون الرئيسيون: Ng, Eddie Yin Kwee, Lim, Jian Tiong
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Materials; Machine Learning; Artificial Neural Network; Python; Extreme Gradient Boosting; K-Nearest Neighbours
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/163954
• المؤسسة: 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....