Globally, the amount of wind turbines used to produce sustainable, renewable power is
always increasing. Achieving dependable and easily accessible performance requires …

Condition monitoring (CM) technology based on supervisory control and data acquisition
(SCADA) data is crucial for ensuring reliable operation and reducing maintenance costs of …

There are few studies on the fault diagnosis of deep learning in real large-scale bearings,
such as wind turbine pitch bearings. We present a novel fault diagnosis method, Bayesian …

In this paper, a set of best practice data sharing guidelines for wind turbine fault detection
model evaluation is developed, which can help practitioners overcome the main challenges …

Wind farms have gained wide attention due to unlimited resources and clean energy.
Considering that wind turbine systems are always in harsh conditions, subsystem failures …

Small-scale wind turbines, at times of their operation, will not be able to work properly and
these moments are called equipment downtime. To reduce this downtime, periodic …

It is essential to continuously monitor the spall size of wind turbine pitch bearings to prevent
severe faults and catastrophic failure. In the field of spall size estimation for bearings, an …

The performance of wind turbines directly determines the profitability of wind farms.
However, the complex environmental conditions and influences of various uncertain factors …

The Stack denoising autoencoder (SDAE) is suitable for acoustic signal denoising because
of its ability to learn high-level features automatically, but the reconstruction effect is unstable …

Pitch bearings in wind turbines are crucial components that enable safe blade pitching,
optimize electrical power output, and ensure turbine protection. Traditional vibration analysis …