Intelligent wind turbine gearbox diagnosis using VMDEA and ELM

• Main Authors: Isham, Muhammad Firdaus, Leong, Muhammad Salman, Lim, Meng Hee, Ahmad, Zair Asrar
• Format: Article
• Published: John Wiley and Sons Inc. 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/87388/; http://dx.doi.org/10.1002/we.2323

Wind turbine gearbox diagnosis is a vital tool for maintaining wind turbine operation and safety. The gearbox vibration signal is invariably complex and variable, and useful information and features are difficulty of extraction. Recently, a new and adaptive signal decomposition method, known as vari...