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- Title
Reliability Assessment of Statistical Distributions for Analyzing Dielectric Breakdown Strength of Polypropylene.
- Authors
Park, Keon-Hee; Lee, Seung-Won; Kim, Hae-Jong; Lim, Jang-Seob
- Abstract
Various statistical distributions, such as Weibull, log-normal, and exponential functions, are frequently employed to interpret the dielectric breakdown (BD) strength data of insulating materials, including cross-linked polyethylene, low-density polyethylene, polypropylene (PP), and polyethylene. This study aimed to determine a suitable statistical distribution for analyzing the dielectric BD strength data of PP insulators before and after thermal degradation. Dielectric BD strength tests were conducted on thermally deteriorated PP insulators under various degradation conditions. Additionally, a coefficient of determination was employed to assess the compatibility between the dielectric BD strength data and the statistical distribution of PP insulators before and after thermal degradation. The test results indicate that the coefficient of determination for alternating current BD strength data was 0.955 in the log-normal distribution before degradation and 0.929 in the Weibull distribution after degradation. Consequently, in the analysis of the PP insulation breakdown data, the log-normal distribution was found to be suitable for data before degradation, while the Weibull distribution was deemed suitable for data after degradation. These results can lead to lower errors in the power system design process, enhancing reliability when analyzing the BD strength data of insulation materials.
- Subjects
DIELECTRIC strength; DISTRIBUTION (Probability theory); DIELECTRIC breakdown; STATISTICAL reliability; LOGNORMAL distribution
- Publication
Applied Sciences (2076-3417), 2024, Vol 14, Issue 1, p3
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app14010003