2014 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) 2014
DOI: 10.1109/ceidp.2014.6995906
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Prognostic modeling for electrical treeing in solid insulation using pulse sequence analysis

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Cited by 9 publications
(11 citation statements)
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“…In this work however, the differences are less significant as data is aggregated into features representing 5 minute batches. As observed in [27], at this level of aggregation there is no obvious pattern for discriminating the harmonic groups.…”
Section: Data Collectionmentioning
confidence: 67%
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“…In this work however, the differences are less significant as data is aggregated into features representing 5 minute batches. As observed in [27], at this level of aggregation there is no obvious pattern for discriminating the harmonic groups.…”
Section: Data Collectionmentioning
confidence: 67%
“…The main purpose of the prior experiments was to investigate the role of power quality on electrical treeing in epoxy resin, thus these samples were subjected to various harmonic regimes. The experiment utilized a total of seven different harmonicinfluenced test waveforms including the fundamental (named Wave 1, 7, 8, 9, 11, 12 and 13) as described in [27], and with equations as indicated in (1) to (7) below. The effects of the harmonics on the PSA plots have been investigated in [28], which revealed some differences for waveforms with high total harmonic distortion (THD).…”
Section: Data Collectionmentioning
confidence: 99%
“…In recent years, [52] utilizes a Phase Resolved Partial Discharge Analyzer (PRPDA) to acquire the patterns of PD during the tests conducted on electrical treeing for the determination of the tree inception voltage with the presence of this nano-composite. In addition to that [53] - [54] gives a better idea for analysing the partial discharges as a prognostic indicator by utilizing the technique called Phase resolved partial discharge analysis (PRPDA) in combination with the Pulse sequence analysis (PSA) out of which it has been concluded that the component PSA can be measured with greater prognostic suitability index than PRPDA that depends on the effective sum of three different features of monotonicity, prognosability and trendability. From these discussions it is being concluded that it is possible to predict the effect of insulation failure earlier than the actual breakdown of insulation that occurs completely.…”
Section: Non-linear Behaviour Of Pd Pulsesmentioning
confidence: 99%
“…As a result, this method focuses on changes to the point-on-wave external applied voltage between pulses. In this paper, PD data is analyzed according to the PSA method outlined in [9], and briefly introduced below: 1. Based on the instantaneous voltage, u(t), of every PD pulse, the change of external voltage, ΔU i , between consecutive PD pulses is calculated by Equation (1).…”
Section: B Psa Methodologymentioning
confidence: 99%