2009 International Conference on Power Systems 2009
DOI: 10.1109/icpws.2009.5442690
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Identification of internal faults in power transformer using symmetrical components and Park's plots

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Cited by 2 publications
(3 citation statements)
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“…The application of the space vector theory to the differential protection and/or on-line condition monitoring of power transformers has been recently reported in the literature [24][25][26][27]44]. The Park's power components technique has also been successfully used to diagnose AC motor faults [45,46].…”
Section: Protection Strategy Based On the Park's Power Componentsmentioning
confidence: 99%
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“…The application of the space vector theory to the differential protection and/or on-line condition monitoring of power transformers has been recently reported in the literature [24][25][26][27]44]. The Park's power components technique has also been successfully used to diagnose AC motor faults [45,46].…”
Section: Protection Strategy Based On the Park's Power Componentsmentioning
confidence: 99%
“…Not surprisingly, a significant amount of research work has been devoted over the last decades to solve the inrush/fault discrimination dilemma of the transformer differential protection. Several solutions have been proposed in this context, including the refinement of the traditional harmonic restrain methods [14][15][16][17], the development and exploration of new trip and restrain signals [10,[12][13][18][19][20][21][22][23][24][25][26][27][28][29][30][31], the use of wave-shape recognition methods [32][33][34], and the application of advanced digital signal processing tools [11,[35][36][37], fuzzy logic and artificial intelligence techniques [31,[38][39][40]. These methods can provide an alternative or improvement to the existing protective relaying functions.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the new generations of power transformers use low-loss amorphous material in their core, which can produce inrush currents with lower harmonics contents and higher magnitudes [5]. In such cases, some authors have modified the ratio of second harmonic to fundamental restraining criterion by using other ratios defined at a higher frequency [6]. While other researchers proposed hidden Markov's model [7], fuzzy-logic-based techniques [4,8], wave shaped recognition technique [1,9], and also artificial neural networks-(ANNs-) [10,11] based learning pattern approach to get better classification accuracy, low computational burden, and fast response of the relay.…”
Section: Introductionmentioning
confidence: 99%