Transformer Winding Parameter Identification based on Frequency Response Analysis using Hybrid Wavelet Transform (WT) and Simulated Annealing Algorithm (SA) and Compare with Genetic Algorithm (GA)

Autor:	Sajad Bagheri, Reza Effatnejad, Abolfazl Salami
Rok vydání:	2014
Předmět:	Mathematical optimization Multidisciplinary Frequency response analysis Computer science Wavelet transform Adaptive simulated annealing Transfer function Haar wavelet law.invention Transformer windings law Simulated annealing Transformer Algorithm
Zdroj:	Scopus-Elsevier
ISSN:	0974-5645 0974-6846
DOI:	10.17485/ijst/2014/v7i5.2
Popis:	Frequency response analysis method is used for certain evaluating and monitoring of the winding displacement and deformation of transformer core to detect incipient faults. Frequency response analysis is based on the graphical analysis and comparison of the current measured transfer function with a base current. In this paper we use compound of haar wavelet transform and intelligent Simulated Anealing Algorithms (SA) and finally we compare the achieved parameters with Genetic Algorithm (GA).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c746244fb0f2bd612282f5876c39f82 https://doi.org/10.17485/ijst/2014/v7i5.2 Zobrazit plný text záznamu