Stochastic analysis of AC-generated partial-discharge pulses from a Monte-Carlo simulation

Brunt, R. J. Van; Cernyar, E.W.

doi:10.1109/ceidp.1992.283214

Cited by 9 publications

(13 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Before one can assess the reliability of signatures based on pulse phase or amplitude distributions, it is essential to understand more about the basic mechanisms that determine the stochastic behavior of PD phenomena under different conditions. It has been shown [13][14][15][16][17][18][19] that pulsating PD is in general a complex stochastic process characterized by significant effects of memory propagation. From measurement of conditional phase-of-occurrence and pulse amplitude distributions it can be shown that the amplitude and phase-of-occurrence of any discharge event depends on the amplitudes and phases-of-occurrence of previous events.…”

Section: Introductionmentioning

confidence: 99%

Importance of unraveling memory propagation effects in interpreting data on partial discharge statistics

Brunt

Cernyar

Glahn

1993

IEEE Trans. Elect. Insul.

Self Cite

View full text Add to dashboard Cite

The significance of memory propagation in controlling the stochastic behavior of partial-discharge phenomena is demonstrated by determination of various conditional amplitude and phaseof-occurrence distributions for both measured and simulated discharge pulses. A system that can be used to measure directly a set of both conditional and unconditional pulse amplitude and phase distributions needed to reveal memory effects and quantify the phase-resolved stochastic properties of partial-discharge pulses, is briefly described. It is argued that not only is an unraveling of memory effects essential in any attempt to understand the physical basis for the observed stochastic behavior of partial-discharge phenomena, but also that the data on conditional distributions provide additional statistical information that may be needed to optimize the reliability of partial-discharge pattern recognition schemes now being considered for use in insulation testing.

show abstract

Section: Introductionmentioning

confidence: 99%

Importance of unraveling memory propagation effects in interpreting data on partial discharge statistics

Brunt

Cernyar

Glahn

1993

IEEE Trans. Elect. Insul.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Evidence of PD-induced changes in the surface resistivity of epoxy materials with concomitant changes in PD characteristics have been reported by Hudon and coworkers [5]. The present work provides additional evidence for PD-induced changes in epoxy surface resistivity and relates these changes to observed nonstationary behavior in the statistical characteristics of the PD with the aid of a previously described Monte-Carlo simulator [6,7].…”

Section: Introductionsupporting

confidence: 56%

“…The stochastic properties of PD generated by applying an alternating voltage to a point-dielectric gap can be predicted using a Monte-Carlo computer simulation based on a model similar to that previously described [6,7]. The version of the model used to obtain the results presented here has been modified to allow a decay of PD-deposited negative charge on the dielectric surface by a factor exp(-$), where the decay constant y, which has units of inverse seconds, increases with increasing local surface conductivity.…”

Section: Results Of Montecarlo Simulationmentioning

confidence: 99%

Partial discharged-induced aging of cast epoxies and related nonstationary behavior of the discharge statistics

Brunt

Glahn

Las³

Proceedings of IEEE Conference on Electrical Insulation and Dielectric Phenomena - (CEIDP '93)

Self Cite

View full text Add to dashboard Cite

“…The results of this earlier work have been published in Plasma Chemistry Plasma Processing [19] and the results presented here have been published in the Journal of Chemical Physics [20]. Preliminary results from the Monte-Carlo simulation have been reported in a recent conference paper [21].…”

Section: Discussion Of Resultsmentioning

confidence: 89%

Research for electric energy systems - an annual report

Anderson¹

1991

View full text Add to dashboard Cite

This report summarizes the progress of two technical investigations conducted during CY 92. Although reasonable efforts have been made to ensure the reliability of the data presented, it must be emphasized that this is an interim progress report and that further experimentation and analysis may be performed before the conclusions from any of these investigations are formally published. It is therefore possible that some of the observations presented in this report will be modified, expanded, or clarified by our subsequent research 1. DISCLAIMER This report was preparedas an account of work sponsored-by an agency of the United States Government. Neither the United States Government nor any agency th,_reof,nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. aThe identification of commercial materials and their sources is made to describe the experiment adequately. In no case does this identification imply recommendation by the National Institute of Standards and Technology, nor does it imply that the product is the best available.

show abstract

Stochastic analysis of AC-generated partial-discharge pulses from a Monte-Carlo simulation

Cited by 9 publications

References 7 publications

Importance of unraveling memory propagation effects in interpreting data on partial discharge statistics

Importance of unraveling memory propagation effects in interpreting data on partial discharge statistics

Partial discharged-induced aging of cast epoxies and related nonstationary behavior of the discharge statistics

Research for electric energy systems - an annual report

Contact Info

Product

Resources

About