Fault Detection and Classification in Power Electronic Circuits Using Wavelet Transform and Neural Network

This study presents an approach for fault detection and classification in a DC drive system. The fault is detected by a classical Luenberger observer. After the fault detection,

In sneakers, 11-KT implants inhibit female-like displays and promote the develop- ment of male secondary sexual characters but it does not induce male-like sexual behavior ( Oliveira

10(a) shows the DWT based denoised signal analyzed with EMD and FFT of the 2 nd IMF is shown. It can be seen that DWT denoised signal has a peak at 98 Hz and not at the

Abstract: This paper presents an efficient wavelet and neural network (WNN) based algorithm for distinguishing magnetizing inrush currents from internal fault

Automated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network Classification.. Abderrahim Sebri, Jihène Malek,

In this paper, a scooter fault diagnosis system based on continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the

KEY WORDS: terrestrial laser scanning, joint roughness, range noise, discrete wavelet transform, stationary wavelet transform, denoising