Analysis of the Blowout Mechanism of Current‐Limiting Fuses and Non‐Contact Sensing Evaluation Methods

Abstract Online condition assessment of current‐limiting fuses for medium‐voltage motors without power interruption or disassembly remains challenging. This paper proposes an online degradation identification method for current‐limiting fuses based on non‐contact current‐rate sensing with temperature compensation. A fuse current stress test platform was established, and high‐current impact tests simulating actual operating conditions were conducted using a 7.2 kV/160 A fuse as the research subject. Experimental results reveal that under prolonged current impact, the cold resistance of the fuse exhibits multiple irreversible step‐like increases. Further analysis indicates that the magnitude of these cold resistance steps aligns closely with the resistance model of the fuse's multi‐branch internal structure, suggesting that the preferential melting of individual fuse elements is the primary mechanism causing discrete degradation transitions. Based on this mechanism, an online monitoring device for fuses was developed with a non‐contact measurement link. A step‐judgment method was proposed, using the relative increase in equivalent internal resistance as a physical threshold and integrating statistical significance testing. During the 351st current impulse test, the monitoring device successfully identified a step‐like decrease in the current‐rate feature, which corresponded to an irreversible increase in cold‐state resistance, enabling online early warning of a single fuse‐element melting event. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

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Publication Details

Journal
IEEJ Transactions on Electrical and Electronic Engineering
Published
2026-08-20
DOI
https://doi.org/10.1002/tee.70391
Primary Topic
Electrical Fault Detection and Protection
Type
article
Field-Weighted Citation Impact
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article

Analysis of the Blowout Mechanism of Current‐Limiting Fuses and Non‐Contact Sensing Evaluation Methods

Wentao Jiang, Wanqing Luo, Hongquan Wang, Sun Pengqing et al.
IEEJ Transactions on Electrical and Electronic Engineering
Electrical Fault Detection and Protection
article

Analysis of the Blowout Mechanism of Current‐Limiting Fuses and Non‐Contact Sensing Evaluation Methods

Wentao Jiang, Wanqing Luo, Hongquan Wang, Sun Pengqing, Guan Chongxi, Yin Yongwei, Zong Guangdeng
article en

Abstract

Abstract Online condition assessment of current‐limiting fuses for medium‐voltage motors without power interruption or disassembly remains challenging. This paper proposes an online degradation identification method for current‐limiting fuses based on non‐contact current‐rate sensing with temperature compensation. A fuse current stress test platform was established, and high‐current impact tests simulating actual operating conditions were conducted using a 7.2 kV/160 A fuse as the research subject. Experimental results reveal that under prolonged current impact, the cold resistance of the fuse exhibits multiple irreversible step‐like increases. Further analysis indicates that the magnitude of these cold resistance steps aligns closely with the resistance model of the fuse's multi‐branch internal structure, suggesting that the preferential melting of individual fuse elements is the primary mechanism causing discrete degradation transitions. Based on this mechanism, an online monitoring device for fuses was developed with a non‐contact measurement link. A step‐judgment method was proposed, using the relative increase in equivalent internal resistance as a physical threshold and integrating statistical significance testing. During the 351st current impulse test, the monitoring device successfully identified a step‐like decrease in the current‐rate feature, which corresponded to an irreversible increase in cold‐state resistance, enabling online early warning of a single fuse‐element melting event. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

IEEJ Transactions on Electrical and Electronic Engineering
State Grid Corporation of China (China) (CN), Tiangong University (CN), Leshan Normal University (CN), Tianjin Research Institute of Electric Science (China) (CN), TianjinSino-German University of Applied Sciences (CN), National Vaccine and Serum Institute (CN)
Openalex Percentile: Top 19%
Electrical Fault Detection and Protection
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