Is a weak fault and compound fault diagnosis method feasible for generator bearing?

The feasibility of a weak fault and compound fault diagnosis method for generator bearing of wind turbines is proposed based on empirical wavelet transform. This method is experimentally validated and engineering applied to demonstrate its effectiveness in generator bearing fault diagnosis. 1. Introduction

Is there a spalling fault in the outer race of generator bearing?

A spalling fault was found in the outer race of the generator bearing in this wind turbine. This finding demonstrates the success of the proposed method in identifying generator bearing fault features in wind turbines in a wind farm. Fig. 37. Detected Fourier support for the vibration signal.

How to detect bearing faults in wind generators?

Early detection of bearing faults in wind generators, it Utilized a multi-stage approach involving Random Forest, XGBoost, Light XGB, and Logistic Regression, followed by probability scores and optimal features with a search grid validation; as ensembled method. Torsional sensors are not common in the drivetrain.

Can finite element modelling detect sudden faults in wind turbines?

A case study with three databases of 331′290 events in 40 wind turbines with finite element modelling. The results have accuracy of 99.99%, recall of 99.98, F1 score of 98.12%. The detection of sudden faults in wind turbine generator (WTG) is a complex task, especially in bearings.

How accurate are vibration signals in wind turbine generators?

Evaluation of the bearing in horizontal, axial, and vertical, with an accuracy of 91%. Non-stationary vibration signal in the absence of an external hardware sensor. Acoustic and vibration signals for different fault cases for gearbox in Wind turbine generators, with hybrid ensemble is developed by stacking the RF, DT, KNN.

How to detect a wind turbine fault?

Usually, the evaluation of methodologies such as vibration, ultrasound, and bearing temperatures are widely used in predictive maintenance, an important aspect for the traditional approach, in wind turbine fault detection, is the limited analysis with a single variable as vibration, or temperature.