2006
DOI: 10.1109/tpwrd.2005.852340
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A Correlation Method for Detection of Partial Discharges in Transformers

Abstract: A correlation method is proposed for the location of partial discharge within a winding. Theoretical simulations and experimental results on a lumped parameter model of a winding are shown to prove the feasibility of the method.

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Cited by 21 publications
(9 citation statements)
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“…Figure 4 shows the simulated and estimated voltage at node 5 using (12) for source applied to the input terminal. In all the cases, a constant excitation source of 1 V AC is applied and frequency is swept from 1 Hz to 300 KHz with the frequency resolution of 3 Hz collecting about 100 K sample.…”
Section: Validation Of the Analytical Expressionsmentioning
confidence: 99%
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“…Figure 4 shows the simulated and estimated voltage at node 5 using (12) for source applied to the input terminal. In all the cases, a constant excitation source of 1 V AC is applied and frequency is swept from 1 Hz to 300 KHz with the frequency resolution of 3 Hz collecting about 100 K sample.…”
Section: Validation Of the Analytical Expressionsmentioning
confidence: 99%
“…8 Apart from the mentioned theoretical literature, some experimental study with resistive circuit has been conducted in Denardo et al, 5 which found that with the addition of loops in the circuit, there is a rapid exponential convergence of the input resistance to the golden ratio. To models these windings, different equivalent networks are used, such as ladder networks, 12,13 Multi-Conductor Transmission Line (MTL), 14 and hybrid. 9 The pioneer works in the field of the infinite resistive network have been done by Zemanian.…”
Section: Introductionmentioning
confidence: 99%
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“…Granger causality analysis is a statistical hypothesis test to calculate whether one time series of data is useful in forecasting another data and it finds only "predictive causality" [20] than other linear methods [21][22][23][24]. Granger causality analysis is based on multiple regression analysis.…”
Section: Principle Of Granger Causality Analysis For Impulse Fault Dementioning
confidence: 99%