TY - GEN
T1 - Statistical Analysis of Low-Voltage Varistor Clamping Voltage Variability under Switching Surges
AU - Muremi, Lutendo
AU - Bokoro, Pitshou
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This study investigates the relationship between the number of applied switching surges and the clamping voltage response of Metal Oxide Varistors (MOVs) through bivariate statistical analysis. The clamping voltage, which marks the threshold at which an MOV becomes conductive, plays a critical role in diverting excess surge energy to the ground and limiting voltage across protected equipment. A stable and predictable clamping voltage is vital for effective surge protection. MOV samples were subjected to various surge event frequencies, with reference voltage measurements recorded before and after testing. Clamping voltage values were also measured at the beginning and end of the testing period. Scatter plot analysis revealed a slight upward trend in the clamping voltage ratio as the number of surges increased, with data narrowly clustering between 1.1 and 1.5 p.u., indicating a weak correlation. A Pearson correlation coefficient of 0.22 further supported this observation. Linear regression analysis demonstrated a negligible positive slope of 0.0008 and a low R-squared value of 0.049, suggesting that the number of surges contributes minimally to the variance in clamping voltage. These findings indicate that while repeated surge exposure may result in a slight increase in clamping voltage, it is not a reliable metric for assessing degradation levels compared to reference voltage changes. The impact of surge events on clamping voltage response remains statistically insignificant.
AB - This study investigates the relationship between the number of applied switching surges and the clamping voltage response of Metal Oxide Varistors (MOVs) through bivariate statistical analysis. The clamping voltage, which marks the threshold at which an MOV becomes conductive, plays a critical role in diverting excess surge energy to the ground and limiting voltage across protected equipment. A stable and predictable clamping voltage is vital for effective surge protection. MOV samples were subjected to various surge event frequencies, with reference voltage measurements recorded before and after testing. Clamping voltage values were also measured at the beginning and end of the testing period. Scatter plot analysis revealed a slight upward trend in the clamping voltage ratio as the number of surges increased, with data narrowly clustering between 1.1 and 1.5 p.u., indicating a weak correlation. A Pearson correlation coefficient of 0.22 further supported this observation. Linear regression analysis demonstrated a negligible positive slope of 0.0008 and a low R-squared value of 0.049, suggesting that the number of surges contributes minimally to the variance in clamping voltage. These findings indicate that while repeated surge exposure may result in a slight increase in clamping voltage, it is not a reliable metric for assessing degradation levels compared to reference voltage changes. The impact of surge events on clamping voltage response remains statistically insignificant.
KW - Bivariate Statistical Analysis
KW - Clamping Voltage Ratio
KW - Degradation Assessment
KW - Reference Voltage Measurement
KW - Statistical Significance
KW - Surge Events
UR - http://www.scopus.com/inward/record.url?scp=105002688515&partnerID=8YFLogxK
U2 - 10.1109/SAUPEC65723.2025.10944346
DO - 10.1109/SAUPEC65723.2025.10944346
M3 - Conference contribution
AN - SCOPUS:105002688515
T3 - Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
BT - Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
Y2 - 29 January 2025 through 30 January 2025
ER -