Statistical Analysis of Varistor Capacitance under Slow-Front Overvoltages

Lutendo Muremi; Pitshou Bokoro; Wesley Doorsamy

doi:10.1109/IECON49645.2022.9968764

Statistical Analysis of Varistor Capacitance under Slow-Front Overvoltages

Lutendo Muremi, Pitshou Bokoro, Wesley Doorsamy

Electrical and Electronic Engineering Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, the effect of switching surges on the varistor capacitance is analyzed using ANOVA. Commercially-sourced low voltage varistor arresters are subjected to set number of switching surges, which is computed in terms of time (12, 24, 36 and 48 hours). Varistor capacitance and reference voltage are measured before and after samples were exposed to switching surges. The Shapiro-Wilk test is employed to assess the normality distribution test of measured capacitance prior to application of the ANOVA statistical test. Results obtained indicate changes in varistor capacitance of 13 %, 17 %, 19 % and 23 %, and varistor voltage reduction of-2.87,-5.65,-7,11 % and-11.09 % for applied surges at mentioned duration respectively. ANOVA results shows a significant mean capacitance difference between groups of varistor exposed to different set number of switching surges.

Original language	English
Title of host publication	IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665480253
DOIs	https://doi.org/10.1109/IECON49645.2022.9968764
Publication status	Published - 2022
Event	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2022-October
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/Territory	Belgium
City	Brussels
Period	17/10/22 → 20/10/22

Keywords

Zinc oxide varistor
analysis of variance
degradation
switching surges
varistor capacitance

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON49645.2022.9968764

Cite this

@inproceedings{9a9004025f6849fcaedd1fe99d30fd2f,

title = "Statistical Analysis of Varistor Capacitance under Slow-Front Overvoltages",

abstract = "In this work, the effect of switching surges on the varistor capacitance is analyzed using ANOVA. Commercially-sourced low voltage varistor arresters are subjected to set number of switching surges, which is computed in terms of time (12, 24, 36 and 48 hours). Varistor capacitance and reference voltage are measured before and after samples were exposed to switching surges. The Shapiro-Wilk test is employed to assess the normality distribution test of measured capacitance prior to application of the ANOVA statistical test. Results obtained indicate changes in varistor capacitance of 13 %, 17 %, 19 % and 23 %, and varistor voltage reduction of-2.87,-5.65,-7,11 % and-11.09 % for applied surges at mentioned duration respectively. ANOVA results shows a significant mean capacitance difference between groups of varistor exposed to different set number of switching surges.",

keywords = "Zinc oxide varistor, analysis of variance, degradation, switching surges, varistor capacitance",

author = "Lutendo Muremi and Pitshou Bokoro and Wesley Doorsamy",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

year = "2022",

doi = "10.1109/IECON49645.2022.9968764",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

booktitle = "IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society",

address = "United States",

}

Muremi, L, Bokoro, P & Doorsamy, W 2022, Statistical Analysis of Varistor Capacitance under Slow-Front Overvoltages. in IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE Computer Society, 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17/10/22. https://doi.org/10.1109/IECON49645.2022.9968764

Statistical Analysis of Varistor Capacitance under Slow-Front Overvoltages. / Muremi, Lutendo; Bokoro, Pitshou ; Doorsamy, Wesley.
IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2022. (IECON Proceedings (Industrial Electronics Conference); Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Statistical Analysis of Varistor Capacitance under Slow-Front Overvoltages

AU - Muremi, Lutendo

AU - Bokoro, Pitshou

AU - Doorsamy, Wesley

PY - 2022

Y1 - 2022

N2 - In this work, the effect of switching surges on the varistor capacitance is analyzed using ANOVA. Commercially-sourced low voltage varistor arresters are subjected to set number of switching surges, which is computed in terms of time (12, 24, 36 and 48 hours). Varistor capacitance and reference voltage are measured before and after samples were exposed to switching surges. The Shapiro-Wilk test is employed to assess the normality distribution test of measured capacitance prior to application of the ANOVA statistical test. Results obtained indicate changes in varistor capacitance of 13 %, 17 %, 19 % and 23 %, and varistor voltage reduction of-2.87,-5.65,-7,11 % and-11.09 % for applied surges at mentioned duration respectively. ANOVA results shows a significant mean capacitance difference between groups of varistor exposed to different set number of switching surges.

AB - In this work, the effect of switching surges on the varistor capacitance is analyzed using ANOVA. Commercially-sourced low voltage varistor arresters are subjected to set number of switching surges, which is computed in terms of time (12, 24, 36 and 48 hours). Varistor capacitance and reference voltage are measured before and after samples were exposed to switching surges. The Shapiro-Wilk test is employed to assess the normality distribution test of measured capacitance prior to application of the ANOVA statistical test. Results obtained indicate changes in varistor capacitance of 13 %, 17 %, 19 % and 23 %, and varistor voltage reduction of-2.87,-5.65,-7,11 % and-11.09 % for applied surges at mentioned duration respectively. ANOVA results shows a significant mean capacitance difference between groups of varistor exposed to different set number of switching surges.

KW - Zinc oxide varistor

KW - analysis of variance

KW - degradation

KW - switching surges

KW - varistor capacitance

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ER -

Statistical Analysis of Varistor Capacitance under Slow-Front Overvoltages

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Keywords

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