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자료유형
학술저널
저자정보
Mohd Hafizi Ahmad (Universiti Teknologi Malaysia) Nouruddeen Bashir (Universiti Teknologi Malaysia) Hussein Ahmad (Universiti Teknologi Malaysia) Mohamed Afendi Mohamed Piah (Universiti Teknologi Malaysia) Zulkurnain Abdul-Malek (Universiti Teknologi Malaysia) Fadhilah Yusof (Universiti Teknologi Malaysia)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.4
발행연도
2013.7
수록면
840 - 849 (10page)

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This paper presents a statistical approach to analyze electrical tree inception voltage, electrical tree breakdown voltage and tree breakdown time of unsaturated polyester resin subjected to AC voltage. The aim of this work was to show that Weibull and lognormal distribution may not be the most suitable distributions for analysis of electrical treeing data. In this paper, an investigation of statistical distributions of electrical tree inception voltage, electrical tree breakdown voltage and breakdown time data was performed on 108 leaf-like specimen samples. Revelations from the test results showed that Johnson SB distribution is the best fit for electrical tree inception voltage and tree breakdown time data while electrical tree breakdown voltage data is best suited with Wakeby distribution. The fitting step was performed by means of Anderson-Darling (AD) Goodness-of-fit test (GOF). Based on the fitting results of tree inception voltage, tree breakdown time and tree breakdown voltage data, Johnson SB and Wakeby exhibit the lowest error value respectively compared to Weibull and lognormal.

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Abstract
1. Introduction
2. Experiment
3. Results and Discussion
4. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2014-500-003356407