Statistical Analysis of the Breakdown Voltage in Ne at 1 mbar Pressure

Maluckov, Čedomir A.; Radović, Miloš

doi:10.1002/1521-3986(200208)42:5<556::aid-ctpp556>3.0.co;2-#

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…15 for a discussion of the true nature of ␥͑⌬U͒ dependence in the case of argon͒: and the slope S = ͑d␥ / ␥͒ / dU = 0.013 V −1 was taken from the static ␥͑E / N͒ dependence. Besides the experiments containing a systematic error, [8][9][10][11][12][13] the ramp breakdown statistics has been incorrectly treated as a homogeneous Poisson process, together with unrealistic physical assumptions about ␣, ␥, or Y dependence on the voltage. 7 The experimentally obtained distributions for = 3 s and k = 62 V / s, fitted by Eq.…”

Section: ͑2͒mentioning

confidence: 99%

“…1 The breakdown is stochastic in nature, so the mean values and distributions of breakdown delay times t d and dynamic breakdown voltages U b are obtained from hundreds or thousands of single shot data. In earlier experiments [8][9][10][11][12][13] there was a subvoltage level U sub or a starting ramp level U r as a starting level for the subsequent pulse well below the static breakdown voltage U s . Also, we shall show how the measurements of breakdown delay times t d and dynamic breakdown voltages U b and their variations in transient regimes may be used to study the gas phase and surface processes in afterglow of molecular, 2-5 and rare gases.…”

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confidence: 99%

“…8 relaxation time . In the second part two groups of measurements are described, with and without the application of the subvoltage level.…”

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confidence: 99%

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Experiment for measurements of the gas breakdown statistics by ramp voltage pulses

Marković

Stamenković

Gocić

et al. 2006

Review of Scientific Instruments

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In the first part of this article the electronic automatic system for the measurements of dynamic breakdown voltages Ub with linearly rising (ramp) pulses is presented. It generates the sequence of ramp pulses with subvoltage level Usub≈0 during the relaxation time τ of the tube, and the ramp pulses start from the static breakdown voltage Us, thus enabling the correct study of electrical breakdowns and relaxation in gases. In the second part the measurements in argon with and without a voltage during the off period of the pulse are analyzed. The influence of the subvoltage on the mean value of the breakdown voltage Ub¯ as a function of the rise rate k, on the statistical Ub distributions and on the afterglow kinetics is also discussed.

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Section: ͑2͒mentioning

confidence: 99%

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Experiment for measurements of the gas breakdown statistics by ramp voltage pulses

Marković

Stamenković

Gocić

et al. 2006

Review of Scientific Instruments

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“…For investigating the randomness of the group mean values t DG distribution around the total mean value t D Wilcoxon or Mann-Whitney's test [14,27,28,29] was used. As the illustration of this test, some dependencies of the group mean values t DG as the function of the group ordinal number are given in Fig.…”

Section: Investigation Of the Measurement Randomnessmentioning

confidence: 99%

Investigation of the Influence of Overvoltage, Auxiliary Glow Current and Relaxation Time on the Electrical Breakdown Time Delay Distributions in Neon

Maluckov

Karamarković

Radović

2005

Contrib. Plasma Phys.

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Results of the statistical analysis of the electrical breakdown time delay for neon-filled tube at 13.3 mbar are presented in this paper. Experimental distributions of the breakdown time delay were established on the basis of 200 successive and independent measurements, for different overvoltages, relaxation times and auxiliary glows. Obtained experimental distributions deviate from usual exponential distribution. Breakdown time delay distributions are numerically generated, using Monte-Carlo method, as the compositions of the two independent random variables with an exponential and a Gaussian distribution. Theoretical breakdown time delay distribution is obtained from the convolution of the exponential and Gaussian distribution. Performed analysis shows that the crucial parameter that determines the complex structure of time delay is the overvoltage and if it is of the order of few percentage, then distribution of time delay must be treated as an convolution of two random variables.

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“…[1][2][3] Due to the statistical nature of the processes initiating breakdown, the breakdown voltage is stochastic variable with a certain distribution. This method is more appropriate than the linear voltage increase 5,9 because it includes the statistical nature of processes that lead to breakdown. This method is more appropriate than the linear voltage increase 5,9 because it includes the statistical nature of processes that lead to breakdown.…”

Section: Introductionmentioning

confidence: 99%

Digital system for vacuum and gas-filled devices testing

Pejović

2004

Review of Scientific Instruments

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Electrical system for measurement of breakdown voltage of vacuum and gas-filled tubes using a dynamic method Rev.A method for measuring the presampled MTF of digital radiographic systems using an edge test device Med.This article describes an improved electrical system aimed at measuring and data acquisition of the breakdown voltage of vacuum and gas-filled devices at low pressures using a discretized dynamic method. The previous system [M. M. Pejovic, C. S. Milosavljevic, and M. M. Pejovic, Rev. Sci. Instrum. 74, 3127 (2002)] included a complex analog circuit for breakdown detection, which did not provide the required reliability. The smallest voltage step which this system could provide was 250 mV. In order to increase the reliability of the breakdown detection, the Keithley model 248 high power supply was added to the system. The breakdown is detected from a monitor output at model 248 rear panel. The disadvantage of this system was the fact that the minimal value of the voltage step in this case is 1 V. An additional Keithley model 2400 Source Meter was introduced as a serial connection with the Keithley model 248 with the aim of decreasing the minimal value of the voltage step, which is in this case 1 mV. PC controls both Keithley models using standard IEEE 488 interface bus. This system provides a minimal voltage step value of 1 mV which results in a high precision in breakdown voltage determination. The proposed system controls a large number of parameters, which makes significantly influences the breakdown voltage value. The system was tested with a neon-filled tube at 6.6 mbar, where two parameters were varied, the relaxation time and the voltage step. The experimental results are in accordance with the literature regarding the influence of these two parameters on the breakdown voltage of gas-filled tubes.

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Statistical Analysis of the Breakdown Voltage in Ne at 1 mbar Pressure

Cited by 7 publications

References 19 publications

Experiment for measurements of the gas breakdown statistics by ramp voltage pulses

Experiment for measurements of the gas breakdown statistics by ramp voltage pulses

Investigation of the Influence of Overvoltage, Auxiliary Glow Current and Relaxation Time on the Electrical Breakdown Time Delay Distributions in Neon

Digital system for vacuum and gas-filled devices testing

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