A New Statistical Approach for Analysis of Tree Inception Voltage of Silicone Rubber and Epoxy Resin under AC Ramp Voltage

Bashir²,

Journal of Electrical Engineering and Technology

et al. 2013

Self Cite

-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.

Section: Resultsmentioning

confidence: 99%

“…Numerous papers have been published investigating various electrical treeing parameters in polymeric insulating material [1][2][3][4][5]. Such parameters include tree inception voltage, tree breakdown voltage, tree length, tree inception time, tree breakdown time, fractal dimension and number of branches.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Electrical Tree Inception Voltage, Breakdown Voltage and Tree Breakdown Time Data of Unsaturated Polyester Resin

Bashir²,

Journal of Electrical Engineering and Technology

et al. 2013

Self Cite

2015 IEEE Conference on Energy Conversion (CENCON)

“…The techniques were implemented to detect, measure, and analyze PD activities on insulation of HV equipment such as power cable, transformer, gas insulated switchgear (GIS), and generator, on-line or off-line system, and on-site or off-site system [4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introduction (Heading 1)mentioning

confidence: 99%

Partial discharge monitoring technique for research purpose on solid insulating material

Aulia

Arief

Abdul‐Malek

et al. 2015

Self Cite

It is not easy to perform an analyzing of on-line partial discharge (PD) data of solid insulating material under test using common spreadsheet application software like Microsoft Excel. This is because the PD data are normally long and depend on the sampling rate used during insulation sample testing. Data sample will increase when sampling rate increase and time to analyze data will increase, too. Other problem is associated with compiling of PD data. Microsoft Excel uses a large memory to run, calculate, and plot and the PD data, and it may lead computer memory crash. In order to overcome this problem, an alternative on-line PD analyzer needs to be developed. This paper deals with the development of on-line PD monitoring technique using LabView software. The results revealed that the technique can extract PD characteristics such as PD magnitude, plotting PD pattern, PD number, without consuming large time and memory compared to Microsoft Excel system. This technique also experiences no memory crash when sample testing up to 125 mega sampling rate.

“…PD measurement and technique on HV equipment has been reported by many researchers in the last two decades in relation to improving computer and information technology. The techniques were implemented to detect, measure, and analyze PD activities on insulation of HV equipment such as power cable, transformer, gas insulated switchgear (GIS), and generator, on-line or off-line system, and on-site or off-site system [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Development of Compact On-Line Partial Discharge Analyzer Assessing Nanocomposite Insulation Performance for Research Purpose

Aulia¹,

Arief²,

Abduk-Malek³

et al. 2014

EECSI

Analyzing on-line partial discharge (PD) data using commercially available spreadsheet application software like Microsoft Excel is possible but very difficult to do. The problem is because the PD data are quite long and depend on the sampling rate used during testing. Increasing the sampling rate will increase data samples in one cycle of 50 Hz waveform, and longer time is needed to analyze the data. A further problem is associated with compiling the PD data; Excel uses a large memory to run, plot and calculate the PD data for analysis purpose, and sometimes this leads to computer memory crash. Due to this problem, an alternative on-line PD analyzer (on-LPDA) needs to be developed. This paper reports on the performance of the software that was developed using LabViewTM 8.5. The result shows that the software can extract PD parameters like PD numbers, PD magnitude, and plotting PD pattern without large time and memory consumption, compared with Excel, and experiences no memory crash up to 125 mega sampling (MS) rate.