Life Prediction Method of Low Voltage Circuit Breaker Based on Arc Energy Estimation

doi:10.16628/j.cnki.2095-8188.2025.01.002

Abstract

Abstract:

Predicting the remaining life of low voltage circuit breakers is crucial for ensuring the safety and stability of power systems.The current life prediction methods rely on the measurement and analysis of data such as contact mass and vibrations, which involve high costs and complex processing.In response to this, a life prediction method for low voltage circuit breakers based on arc energy estimation is proposed.Initially, the time and electrical signals are collected to compute a dataset of single arc duration and single arc energy, and their correlation is analyzed.Subsequently, a fitting function is established to estimate the accumulated arc energy, which is used to construct a remaining electrical life prediction model.Finally, the validation using the life test data from a specific molded case circuit breaker (MCCB) demonstrates that the model achieves a satisfactory level of prediction accuracy.The proposed method provides the theoretical and practical foundations for the life prediction of low voltage circuit breakers.

Key words: life prediction, low voltage circuit breaker, arc energy, function fitting

CLC Number:

TM561

XU Jianing, YANG Haowen, GAO Caizhi, CHEN Silei, LI Xingwen. Life Prediction Method of Low Voltage Circuit Breaker Based on Arc Energy Estimation[J]. LOW VOLTAGE APPARATUS, 2025, 0(1): 6-13.

Figures/Tables 11

函数	表达式	常数系数	$α —$ /%
多项式	g_pred_j=p₁ $t a r c j 2$ +p₂t_arc_j+p₃	$p 1 = 8.19 × 105 p 2 = 199.9 p 3 = 1.93$	96.1
指数函数	g_pred_j=a $e b t a r c j$	$a = 3.11 b = 356.2$	93.1
傅里叶变换函数	g_pred_j=a₀+a₁cos(wt_arc_j)+ b₁sin(wt_arc_j)	$a 0 = 23.88 a 1 = 20.64 b 1 = 9.17 w = 434.6$	98.4
高斯函数	g_pred_j=a₁ $e - t a r c j - b 1 c 1 2$	$a 1 = 45.81 b 1 = 0.0077 c 1 = 0.0029$	99.1
威布尔分布函数	g_arc_j=abx⁽^b^-1) $e a x b$	$a = 1.03 × 106 b = 3.268$	97.9
幂函数	g_arc_j=ax^b	$a = 1.05 × 106 b = 2.06$	98.0

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