2016
DOI: 10.1109/tla.2016.7817005
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Fault location in distribution systems: A Method Considering the Parameter Estimation Using a RNA Online

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Cited by 13 publications
(3 citation statements)
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“…For fault location in electrical power systems, it is shown that the error remains low using the LM method (with a regression accuracy of 91%) [19]. A comparison to the training method is presented with an improvement of up to 52% for the MSE calculation in RBF [20].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For fault location in electrical power systems, it is shown that the error remains low using the LM method (with a regression accuracy of 91%) [19]. A comparison to the training method is presented with an improvement of up to 52% for the MSE calculation in RBF [20].…”
Section: Introductionmentioning
confidence: 99%
“…An online training method for fault location in distribution systems based on the Levenberg-Marquardt (LM) algorithm was developed [19]. New strategies for training of RBF were development [20], with an improvement of up to 52% for the calculation of mean squared error (MSE).…”
Section: Introductionmentioning
confidence: 99%
“…Além disso, diversos métodos têm sido publicados na literatura com o objetivo de estimar localização de faltas, os quais podem ser divididos em três grupos: algoritmos com base na impedância aparente, ondas viajantes e redes neurais (Farias et al 2016).…”
Section: Introductionunclassified