Partial discharge location in power transformer windings using the wavelet Laplace function

Guillén, Daniel; Idárraga-Ospina, Gina; Mombello, Enrique E.

doi:10.1016/j.epsr.2014.02.007

Cited by 29 publications

(6 citation statements)

References 19 publications

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“…In this sense, analysis of electrical insulation failures reveal that this kind of failure is the root cause of more than 60% of the damage to high-voltage equipment [ 19 ]. Thus, PD recognition has been a topic of interest to distinguish different sources of PD failure within energy appliance insulation systems [ 11 , 19 , 20 , 21 , 22 ].…”

Section: Related Workmentioning

confidence: 99%

Forecast Model Update Based on a Real-Time Data Processing Lambda Architecture for Estimating Partial Discharges in Hydrogenerator

Pereira

Bezerra

Oliva

et al. 2020

Sensors

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The prediction of partial discharges in hydrogenerators depends on data collected by sensors and prediction models based on artificial intelligence. However, forecasting models are trained with a set of historical data that is not automatically updated due to the high cost to collect sensors’ data and insufficient real-time data analysis. This article proposes a method to update the forecasting model, aiming to improve its accuracy. The method is based on a distributed data platform with the lambda architecture, which combines real-time and batch processing techniques. The results show that the proposed system enables real-time updates to be made to the forecasting model, allowing partial discharge forecasts to be improved with each update with increasing accuracy.

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Section: Related Workmentioning

confidence: 99%

Forecast Model Update Based on a Real-Time Data Processing Lambda Architecture for Estimating Partial Discharges in Hydrogenerator

Pereira

Bezerra

Oliva

et al. 2020

Sensors

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show abstract

“…In a phase-segregated manner, similarities between the probability distribution of the normalised PSD values are compared with that of a reference signal. The threshold for different types of faults in terms of Hellinger distance [38] is based on the general rule that for a single-phase fault the majority of energy is stored in a particular phase current signal, whereas in case of double or triplephase faults it is divided between the faulty phases.…”

Section: Faulty Phase Identificationmentioning

confidence: 99%

Initial travelling wavefront‐based bus zone protection scheme

Jena

Bhalja

2019

IET Generation, Transmission & Distribution

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“…Thereby, a classification process is launched using the Hellinger distance, which is able to quantify the degree of similitude between two variables. For this purpose, E fA , E fB and E fC are used as inputs to the Hellinger distance, proposed in [27] and defined by…”

Section: Fault Classification Based On Psdmentioning

confidence: 99%