Artificial neural network based on wavelet transform and feature extraction for a wind turbine diagnosis system
T Bakir, B Boussaid, PF Odgaard… - … , Robotics and Vision …, 2016 - ieeexplore.ieee.org
This paper presents a Wavelet Transform (WT) based Artificial Neural Network (ANN) input
data pre-processing scheme and outlines the results of localized rotor angular speed defect …
data pre-processing scheme and outlines the results of localized rotor angular speed defect …
Multiple fault detection based on wavelet denoising: Application on wind turbine system
B Tahani, B Boumedyen, AM Naceur… - … on Control and …, 2017 - ieeexplore.ieee.org
This paper deals with an application of wavelets denoising for residual signal in a wind
turbine system. We have utilized wavelet denoising to generate denoised residual signal …
turbine system. We have utilized wavelet denoising to generate denoised residual signal …
[PDF][PDF] WANN fault detection and isolation approach design for a FAST wind turbine benchmark model
T Bakir, B Boussaid, PF Odgaard, MN Abdelkrim… - environment, 2016 - cnpsi.com
A design of a wavelet-based artificial neural network (WANN) classifier for a nonlinear wind
turbine diagnosis system is proposed in this paper. This classifier is dedicated to evaluate …
turbine diagnosis system is proposed in this paper. This classifier is dedicated to evaluate …