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97 articles for “transformer”

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Research ArticleOpen accessEvery word in the titleComparison of Losses and Flux Distribution in 3 Phase 100 kVA Distribution Transformers Assembled from Various Type of T-Joint GeometryI. Daut, Dina M.M. Ahmad, S. Zakaria et al.This paper describes results of an investigation of the variation of power loss, building factor, flux leakage and flux distribution in 3-phase model transformer cores assembled from various type of T-joint geometry. The loss of the core with T-joint 60o was 10%, 12% and 15% better than the core with T-joint 45o, T-joint 23o and T-joint 90o respectively and 1.7 … …American Journal of Applied Sciences, Vol. 3, Issue 9 · 31 Dec 2009 · 6,893 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMagnetic and Thermal Analysis of Current Transformer in Normal and Abnormal ConditionsM. B.B. Sharifian, M. Farrokhifar, R. Esmaeilzadeh et al.Calculation of Current Transformers (CTs) magnetic and thermal properties are very complex due to the complexity of their construction, different properties of their materials and non-linearity of core B-H curve. Finite Element Methods (FEMs) are very capable and reliable methods for these problems solution, such as Ansys software. In this study Ansys software is applied in analysis of an 800-400/5-5 … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 7,037 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAging Study and Lifetime Estimation of Transformer Mineral OilMohammad R. MeshkatoddiniProblem statement: Power transformer is the most expensive equipment in electrical network; and the mineral oil has the main roles of insulating and cooling in it. Oil is subjected to the degradation because of the ageing, high temperature and chemical reactions such as the oxidation. Then the oil condition has to be checked regularly and reclaimed or replaced when necessary, … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 4 · 31 Mar 2008 · 11,100 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComputation of a Single-phase Shell-Type Transformer Windings Forces Caused by Inrush and Short-circuit CurrentsM. B.B. Sharifian, R. Esmaeilzadeh, M. Farrokhifar et al.This research studies the forces on the windings of transformer due to inrush current. These forces are compared with the corresponding forces due to short-circuit of the windings. Two-dimensional finite element computation of a single-phase shell-type transformer is carried out based on the maximum permissible inrush current value where its amplitude is the same as the rated short-circuit current. To … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 7,429 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSupport Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power TransformerV. Malathi, N. S. MarimuthuThis study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classification of data. The input data to this SVM for training comprises fault current and magnetizing inrush current. SVM classifier produces significant accuracy for classification of transient phenomena in power transformer. …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,737 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWavelet and ANN Based Relaying for Power Transformer ProtectionS. Sudha, A. Ebenezer JeyakumarThis paper presents an efficient wavelet and neural network (WNN) based algorithm for distinguishing magnetizing inrush currents from internal fault currents in three phase power transformers. The wavelet transform is applied first to decompose the current signals of the power transformer into a series of detailed wavelet components. The values of the detailed coefficients obtained can accurately discriminate between an … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,780 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,412 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Overview of Energy Loss Reduction (ELR) Software Used in Pakistan by WAPDA for Calculating Transformer Overloading, Line Losses and Energy LossesMohsin IqbalThis paper is about the use of ELR software for different analysis on distribution system up-gradation. It can be used in low budget countries in which distribution system is already overload and it is too much costly to replace the whole structure to overcome overloading. So this software helps in providing information to upgrade the whole system or to upgrade … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 16 Sep 2015 · 8,972 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Transformer Based Model to Detect Environmental Related Distress on Online Social MediaUtkarsh Sharma, Prateek Pandey, Shishir KumarOnline social media has been recently employed as the source of data for the detection of traffic-related activities and to control the flow of traffic in smart cities all over the world. Till now an ample amount of research work has been done in identification of traffic-related incidents with the help of online social media platforms (mostly Twitter). Along with … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 462 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Fake News Detection Across Generational Text Representations: From Traditional Models to Transformer-Based MethodologiesNoor M. AlkudahThe rapid proliferation of fake news on Arabic social media has amplified societal and political risks, yet research on automatic detection in Arabic remains limited due to scarce datasets, morphological complexity, and underexplored preprocessing strategies. This study presents a comprehensive benchmark for Arabic fake news detection, unifying seven Machine Learning (ML) algorithms, three Deep Learning (DL) models, and a transformer-based … …Journal of Computer Science, Vol. 22, Issue 4 · 17 Apr 2026 · 1,873 accessesView PDFCite