Prediction study on power frequency breakdown voltage of ring structure short air gaps

Huang, Congpeng; Ruan, Jiangjun

doi:10.1109/ichve.2016.7800886

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…For example, feature selection can be considered. Indeed, in the papers that inspired the use of the pattern recognition method, it was found that performance could be improved if only a subset of the full feature list was used [61] [62]. There is also the question of which values of the SVM hyperparameters will produce the best performance.…”

Section: Closing Remarksmentioning

confidence: 99%

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Background Reduction for Improved Sensitivity at the Enriched Xenon Observatory through advancements in Barium-Tagging Simulations, Prediction and Prevention of High-Voltage Breakdown in Liquid Xenon Time-Projection Chambers, and Event Classification using Ensemble Methods and Machine Learning

Watkins¹

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Description of capture regions for various rest times in Scenario A. A rest time of 3 s corresponds to the capture region in Figure 6.11. The bolded region in the table marks the sub-regions the capture region for which a time-dependence on the capture radius has been observed. Ranges of z-coordinate are used for some entries to conserve space. *Because the maximum initial radial coordinate of Ba + ions was 7.0 mm, any capture radii labelled as 7.0 mm may actually be greater than 7.0 mm.. .. .. .. .. .. . .. 6.4 Description of capture regions for various rest times in Scenario C. The bolded region in the table marks the sub-regions the capture region for which a timedependence on the capture radius has been observed. The bolded region in the table marks the sub-regions the capture region for which a time-dependence on the capture radius has been observed. *Because the maximum initial radial coordinate of Ba + ions was 7.0 mm, any capture radii labelled as 7.0 mm may actually be greater than 7.0 mm.. .. .. .. .. .. . .. 6.5 Capture regions for the sub-regions of Scenario C with sub-regions defined in Figure 6.12. The different capture radii for equal z-coordinates demonstrates an angular dependence in capture probability for this scenario. Ranges of z-coordinate are used for some rows to conserve space. *Refer to Figure 6.12 for definitions of Inner Region and Outer Region headings. **Because the maximum initial radial coordinate of Ba + ions was 7.0 mm, any capture radii labelled as 7.0 mm may actually be greater than 7.

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Section: Closing Remarksmentioning

confidence: 99%

“…Indeed, in the original paper where the SVM approach was considered, the optimal SVM was pruned down to 26 parameters[61]. A second set of authors that applied the method also found that parameter pruning improved performance[62].…”

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confidence: 99%

Background Reduction for Improved Sensitivity at the Enriched Xenon Observatory through advancements in Barium-Tagging Simulations, Prediction and Prevention of High-Voltage Breakdown in Liquid Xenon Time-Projection Chambers, and Event Classification using Ensemble Methods and Machine Learning

Watkins¹

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Water content analysis effect on dielectric breakdown voltage in 500 kv transformer oil using coefficient correlation method

Auliq

Nugroho

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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Transformer is a vital component in distributing electrical power. The use of transformer oil which is continuously for a long time and not monitored can cause fatal damage to the transformer. This condition triggered by high water content in the transformer oil which causes breakdown voltage failure and electrical short circuit on the transformer. Therefore this study aims to analyze the influence of water content and breakdown voltage on 500 kV transformer oil type Kunlun Ki25x using the coefficient correlation method. The coefficient correlation method is statistical analysis technique used to look for relationships between variables that are quantitative. Two variables are said to be correlated if the changes in one variable will be followed by changes in the other variables regularly in the same direction (positive correlation) or opposite direction (negative correlation). For material testing and analysis data researcher using Megger OTS100AF instrument. This experiment conduct in paiton 9 power plant East Java for 36 month. Based on experimental data result researcher obtained a strong negative correlation value on the relationship of water content and breakdown voltage with the coefficient R = -0.88 on the function y = 0.7692x + 85.733 and it has characteristic that the increase in water content (x) is inversely proportional to increase the dielectric breakdown voltage (y). In addition, it is also known that the increase in transformer oil temperature is directly proportional to the increase in water content with a positive correlation of R = 0.92 at the function y = 0.4208x + 50.155. From the results above, it can be concluded that the parameters of water content and temperature have an impact on the value of the breakdown voltage and the performance of the transformer

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Breakdown Characteristics of Rod-Plate Electrode under Composite AC and DC Voltage

Zhang

et al. 2020

2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)

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Prediction study on power frequency breakdown voltage of ring structure short air gaps

Cited by 3 publications

References 2 publications

Background Reduction for Improved Sensitivity at the Enriched Xenon Observatory through advancements in Barium-Tagging Simulations, Prediction and Prevention of High-Voltage Breakdown in Liquid Xenon Time-Projection Chambers, and Event Classification using Ensemble Methods and Machine Learning

Background Reduction for Improved Sensitivity at the Enriched Xenon Observatory through advancements in Barium-Tagging Simulations, Prediction and Prevention of High-Voltage Breakdown in Liquid Xenon Time-Projection Chambers, and Event Classification using Ensemble Methods and Machine Learning

Water content analysis effect on dielectric breakdown voltage in 500 kv transformer oil using coefficient correlation method

Breakdown Characteristics of Rod-Plate Electrode under Composite AC and DC Voltage

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