2003
DOI: 10.1109/tdei.2003.1176573
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Breakdown voltages of polymers in the temperature range 23°-250°C

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Cited by 35 publications
(8 citation statements)
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“…Similar deviation from a single Weibull distribution has been previously reported for e.g. BOPP, PI (polyimide) and PTFE (polytetrafluoroethylene) films [11,[19][20]. This deviation suggests that the breakdowns may be due to more than one breakdown mechanisms and that a single 2-parameter Weibull distribution is in fact insufficient for representing such a breakdown data set.…”
Section: Data Selection Threshold ( ) a Minsupporting
confidence: 77%
See 1 more Smart Citation
“…Similar deviation from a single Weibull distribution has been previously reported for e.g. BOPP, PI (polyimide) and PTFE (polytetrafluoroethylene) films [11,[19][20]. This deviation suggests that the breakdowns may be due to more than one breakdown mechanisms and that a single 2-parameter Weibull distribution is in fact insufficient for representing such a breakdown data set.…”
Section: Data Selection Threshold ( ) a Minsupporting
confidence: 77%
“…As the measurement method yields a large amount of breakdown data from a relatively small amount of samples, the empirical breakdown distributions shown in Fig. 9 are very detailed and various different types of breakdown patterns may be identified, similarly as in [7], [8], [11] and [20]. For example, BOPP-6 clearly shows a distinct defect population at the low-probability region which can be seen as the curvature (or S-shape) of the theoretical distributions (Fig.…”
Section: Data Selection Threshold ( ) a Minmentioning
confidence: 96%
“…The mechanisms of electrical failure of insulators are considerably different between DC and AC power systems [4]. Therefore, the breakdown is hard to predict owing to various factors such as morphology of the insulator [5], the amount of injected charge in the insulator and electrode interface characteristics, local electric field distortion due to accumulated space charge in the insulator, temperature gradient [6][7][8], thickness of the insulator [9][10][11], operating time, and waveform of the applied voltage [12]. These factors are nonlinearly involved in the breakdown phenomenon.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the work of Raju et al (14) , it was assumed that the probability of failure can be estimated using Weibull distribution function, several measurements were required for applying the statistical method to each sample. In Statistics, the use of the Weibull distribution is a reliable method to determine the probability of failure of materials due to electrical stresses.…”
Section: Results and Discussion Surface Breakdown Strength (Sbs)mentioning
confidence: 99%