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fault diagnosis of gearbox. An improved hypersphere support vector machine method for vibration fault diagnosis of wind turbine gearbox is proposed in this ...
A Review on Vibration-Based Fault Diagnosis Techniques for Wind Turbine Gearboxes Operating Under Nonstationary Conditions ... SVM algorithms, this method has ...
Apr 20, 2020 · Traditional methods such as artificial neural networks (ANN) and support vector machine (SVM) are used to classify faults [11,12,13].
Tang et al. [15] proposed a fault diagnosis method for the drivetrain of wind turbines based on manifold learning and Shannon wavelet support vector machine.
ABSTRACT: To improve the fault diagnosis of the gearboxes in wind turbines, the possible problems in the wind turbine gearbox are studied by constructing ...
Missing: Hypersphere | Show results with:Hypersphere
May 15, 2022 · Therefore, we study the traditional machine learning methods based on support vector data description (SVDD) [9] for gear fault diagnosis.
Common intelligent fault diagnosis methods for large wind turbines include an artificial neural network (ANN), the expert system, support vector machines (SVM), ...
In this paper, an application of the SVM in multiclass gear–fault diagnosis has been studied when the gear vibration data in frequency domain averaged over a ...
Jun 23, 2021 · In this paper, a new gearbox fault diagnosis method based on improved variational mode decomposition (IVMD), combined with time-shift multi- ...
Missing: Hypersphere | Show results with:Hypersphere
This paper presents an approach for fault diagnosis of wind turbine (WT) based on multi-class fuzzy support vector machine (FSVM) classifier.