In recent years, with the development of wind energy, the number and scale of wind farms
have been develo** rapidly. Since offshore wind farms have the advantages of stable …

Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …

To improve the reliability of the conventional vibration-based wind turbine drivetrain gearbox
fault diagnosis system, this article proposes a novel fault diagnosis method by fusing the …

Rolling bearings are the core components of mechanical and electrical systems. A practical
fault diagnosis scheme is the key to ensure operational safety. There are excessive …

Purpose To detect bearing faults in CNC machine tools, this study proposes an intelligent
vibration-based fault diagnosis approach. Flexible manufacturing systems (FMS) make …

This study utilized the multi-channel convolutional neural network (MCNN) and applied it to
wind turbine blade and blade angle fault detection. The proposed approach automatically …

Wind turbine data collection often suffers from missing data due to network blockage and
sensor failure. Existing data imputation methods require complete datasets for training and …

As vital renewable energy devices, wind turbines suffer from gearbox failures due to harsh
speed increasing operations. Therefore, gearbox fault diagnosis is crucial for wind turbine …

The planetary gearbox, widely used in many machinery fields, suffers from harmful vibration
excited by bearings fault, which always causes machine breakdowns. Thus, fault diagnosis …

Unexpected failures in wind turbines (WTs) lead to tremendous economic losses and safety
hazards to wind farms. Intelligent condition monitoring and fault detection can prevent …