2005
DOI: 10.1109/tpwrd.2004.832361
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A Moisture-in-Oil Model for Power Transformer Monitoring—Part II: Experimental Verification

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Cited by 30 publications
(20 citation statements)
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“…Diagnostic devices and techniques based on live measurements of moisture content [7,8], temperature [9,10], partial discharges [11][12][13] and spectral responses [14] have been developed to activate alarm when threshold values are reached either in oil or in paper.…”
Section: Introductionmentioning
confidence: 99%
“…Diagnostic devices and techniques based on live measurements of moisture content [7,8], temperature [9,10], partial discharges [11][12][13] and spectral responses [14] have been developed to activate alarm when threshold values are reached either in oil or in paper.…”
Section: Introductionmentioning
confidence: 99%
“…Also, the existence of a significant amount of the second harmonic in some winding faults is reported in Zaman and Harman (1998). In Garcia et al (2005a), the moisture in oil model is well modelled and (Garcia et al, 2005b) monitoring of moisture in oil for power transformer was experimentally verified. A real-time testing of WPT-based protection algorithm has been presented in Saleh and Rahman (2005) for three phase transformers.…”
Section: Introductionmentioning
confidence: 92%
“…Time-dependent dielectric response When a dielectric material is subjected to an electrical stress, the vectors called dielectric displacement D, which gives total charge density induced at the electrodes, and applied electric field E can be interrelated [10][11][12][13],…”
Section: Dielectric Response Of Insulationmentioning
confidence: 99%