2014
DOI: 10.1016/j.ijepes.2014.04.041
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A method to enhance the predictive maintenance of ZnO arresters in energy systems

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Cited by 7 publications
(8 citation statements)
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“…The combined use of indicators presented in the literature is highly effective. Also, in the work of Huang and Hsieh [ 59 ], a regression model combining temperature monitoring and extraction of resistive leakage current characteristics is presented.…”
Section: Resultsmentioning
confidence: 99%
“…The combined use of indicators presented in the literature is highly effective. Also, in the work of Huang and Hsieh [ 59 ], a regression model combining temperature monitoring and extraction of resistive leakage current characteristics is presented.…”
Section: Resultsmentioning
confidence: 99%
“…Some combinations of the previous methods have also been succesfully employed [ 15 , 16 ]. Reference [ 15 ] proposes thermal image temperature correlation with the 3rd harmonic’s resistive leakage current, based on an MLP neural network, in order to perform a classification of the condition of the arrester.…”
Section: Introductionmentioning
confidence: 99%
“…But when the operating voltage of the power system is high and the number of power plant (or substation) is large, it is difficult for DC leakage current test when the power failure. Therefore, the live test of zinc oxide arrester under operating voltage is paying more and more attention [3][4]. This paper is to solve the intelligent detection problem of 10KV zinc oxide lightning arresters without affecting the operation, namely the charged working state.…”
Section: Introductionmentioning
confidence: 99%