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Sivaji Chakravorti

Researcher at Jadavpur University

Publications -  114
Citations -  1927

Sivaji Chakravorti is an academic researcher from Jadavpur University. The author has contributed to research in topics: Transformer & Dielectric. The author has an hindex of 25, co-authored 103 publications receiving 1433 citations. Previous affiliations of Sivaji Chakravorti include Indian Institute of Technology Dhanbad & National Institute of Technology Calicut.

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Journal ArticleDOI

Surface resistance modified electric field computation in asymmetric configuration using surface charge simulation method: a new approach

TL;DR: In this article, a novel formulation has been proposed for the calculation of asymmetric electric field including surface resistance using surface charge simulation method (SCSM) for a partly conducting dielectric sphere placed in uniform sinusoidal field and also for an axi-symmetric post type insulator.
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Influence of temperature on interfacial charge of power transformer insulation

TL;DR: In this paper, the effect of measurement temperature on de-trapped charge was investigated and two samples were prepared and analyzed in the laboratory at different temperatures for this purpose, followed by analysis of data collected from several real-life power transformers.
Proceedings ArticleDOI

Evaluating the effects of lower molecular weight acids in oil-paper insulated transformer

TL;DR: In this paper, an attempt has been made to correlate the dielectric test results with type and concentration of organic acids present in the transformer insulation system, and the experimental results on an insulation sample are reported.
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A Non-Linear Model for Sensing Moisture Content in Transformers at Reduced Time

TL;DR: In this article, a non-linear Wiener model of transformer insulation using sine sweep excitation is proposed for reliable sensing of moisture content at reduced measurement time, which can provide more accurate information regarding the insulation condition in comparison with the linear model.
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Can fractal techniques be used for impulse fault pattern discrimination in distribution transformers

TL;DR: In this paper, fractal features such as fractal dimension and lacunarity are used for image and pattern recognition to classify insulation failures during impulse testing of a 3-MVA transformer.