FFT AND WAVELET TRANSFORM BASED ARTIFICIAL NEURAL NETWORKSS PATTERN RECOGNITION SCHEMES FOR HIGH IMPEDANCE ARC FAULTS.POMPES PAR TRANSITIONS MULTIPLES

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" FFT AND WAVELET TRANSFORM BASED ARTIFICIAL NEURAL NETWORKSS PATTERN RECOGNITION SCHEMES FOR HIGH IMPEDANCE ARC FAULTS.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	154536
Doc. No	:	ET26328
Main Entry	:	Syed Muhammad Atif Saleem
Title Proper	:	FFT AND WAVELET TRANSFORM BASED ARTIFICIAL NEURAL NETWORKSS PATTERN RECOGNITION SCHEMES FOR HIGH IMPEDANCE ARC FAULTS.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This thesis examines the application of Artificial Neural Networks and compact WaveletTransforms to investigate a long outstanding problem of Fault Detection in ElectricSystems, Distribution Systems, Process Industries and Mining. The main research in thisthesis was to transform the HIF - Arc fault data to find a unique identifying pattern. In.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL50601.pdf
Title and statement of responsibility and	:	FFT AND WAVELET TRANSFORM BASED ARTIFICIAL NEURAL NETWORKSS PATTERN RECOGNITION SCHEMES FOR HIGH IMPEDANCE ARC FAULTS.POMPES PAR TRANSITIONS MULTIPLES [Thesis]