Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis
Wind turbine gearboxes are widely used in wind power plants, whose operating conditions are characterized by fluctuating wind speeds and loads, introducing noise and complexity into vibration signals, complicating accurate fault diagnosis in wind turbine components.This study explores the potential Baby Foods of bispectrum image analysis combined w