Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials (Cat. No.00CH36347)
DOI: 10.1109/icpadm.2000.875709
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Development of mathematical relation between ESDD and wind velocity for a contaminated insulator in Malaysia

Abstract: Insulator contamination has been identified as the most important design parameter for external insulation of the high voltage network systems. Wind and electrostatic field plays an important role in transporting and depositing of that contamination over the insulator surface. This contamination severity on the insulator surface can be expressed and represented by Equivalent Salt Deposit Density (ESDD). The values of ESDD can be determined easily through a closed, form of mathematical relation. In this paper, … Show more

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Cited by 2 publications
(1 citation statement)
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“…Numerous studies have employed DA to formulate plausible theories for complex physical scenarios. DA has been utilized in diverse applications such as determining the optimal design of an insulator in contaminated environments [63], establishing the correlation between flashover voltage and pollution resistance [64], predicting the life span of polymer tubes in solar hot water systems [65], scaling and measuring instrumented indentation [66], among others. In this work, some critical factors that impact the EL emission will be examined.…”
Section: Modelling Of El Using Dimensional Analysismentioning
confidence: 99%
“…Numerous studies have employed DA to formulate plausible theories for complex physical scenarios. DA has been utilized in diverse applications such as determining the optimal design of an insulator in contaminated environments [63], establishing the correlation between flashover voltage and pollution resistance [64], predicting the life span of polymer tubes in solar hot water systems [65], scaling and measuring instrumented indentation [66], among others. In this work, some critical factors that impact the EL emission will be examined.…”
Section: Modelling Of El Using Dimensional Analysismentioning
confidence: 99%