Excellence in Research and Innovation for Humanity

Yu Hua Hsieh

Publications

1

Publications

1
12755
Generator Damage Recognition Based on Artificial Neural Network
Abstract:
This article simulates the wind generator set which has two fault bearing collar rail destruction and the gear box oil leak fault. The electric current signal which produced by the generator, We use Empirical Mode Decomposition (EMD) as well as Fast Fourier Transform (FFT) obtains the frequency range-s signal figure and characteristic value. The last step is use a kind of Artificial Neural Network (ANN) classifies which determination fault signal's type and reason. The ANN purpose of the automatic identification wind generator set fault..
Keywords:
Wind-driven generator, Fast Fourier Transform, Neural network