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Volume 18
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Article

A Study on Non-Contact Multi-Sensor Fusion Online Monitoring of Circuit Breaker Contact Resistance for Operational State Awareness

by
Zheng Wang
1,
Hua Zhang
1,
Yiyang Zhang
1,*,
Haoyong Zhang
1,
Jing Chen
1,
Shuting Feng
1,
Jie Guo
1 and
Yanpeng Lv
2
1
Langfang Power Supply Company, State Grid Jibei Electric Power Company Limited, Langfang 065000, China
2
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450000, China
*
Author to whom correspondence should be addressed.
Energies 2025, 18(10), 2667; https://doi.org/10.3390/en18102667
Submission received: 2 April 2025 / Revised: 19 May 2025 / Accepted: 19 May 2025 / Published: 21 May 2025
(This article belongs to the Special Issue Advances in Diagnostic Analysis, Strategic Management, and Proactive Maintenance of Electrical Equipment)
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Abstract

The contact condition of circuit breaker contacts directly affects their operational reliability, while circuit resistance, as a key performance indicator, reflects physical changes such as wear, oxidation, and ablation. Traditional offline measurement methods fail to accurately represent the real-time operating state of equipment due to large errors and high randomness, limiting their effectiveness for state awareness and precision maintenance. To address this, a non-contact multi-sensor fusion method for the online monitoring of circuit breaker circuit resistance is proposed, aimed at enhancing operational state awareness in power systems. The method integrates Hall effect current sensors, infrared temperature sensors, and electric field sensors to extract multiple sensing signals, combined with high-precision signal processing algorithms to enable the real-time identification and evaluation of circuit resistance changes. Experimental validation under various scenarios—including normal load, overload impact, and high-temperature and high-humidity environments—demonstrates excellent system performance, with a fast response time (≤200 ms), low measurement error (<1.5%), and strong anti-interference capability (SNR > 60 dB). In field applications, the system successfully identifies circuit resistance increases caused by contact oxidation and issues early warnings, thereby preventing unplanned outages and demonstrating a strong potential for application in the fault prediction and intelligent maintenance of power grids.
Keywords: non-contact monitoring; circuit breaker resistance; multi-sensor fusion; dynamic temperature compensation; fault prediction non-contact monitoring; circuit breaker resistance; multi-sensor fusion; dynamic temperature compensation; fault prediction

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MDPI and ACS Style

Wang, Z.; Zhang, H.; Zhang, Y.; Zhang, H.; Chen, J.; Feng, S.; Guo, J.; Lv, Y. A Study on Non-Contact Multi-Sensor Fusion Online Monitoring of Circuit Breaker Contact Resistance for Operational State Awareness. Energies 2025, 18, 2667. https://doi.org/10.3390/en18102667

AMA Style

Wang Z, Zhang H, Zhang Y, Zhang H, Chen J, Feng S, Guo J, Lv Y. A Study on Non-Contact Multi-Sensor Fusion Online Monitoring of Circuit Breaker Contact Resistance for Operational State Awareness. Energies. 2025; 18(10):2667. https://doi.org/10.3390/en18102667

Chicago/Turabian Style

Wang, Zheng, Hua Zhang, Yiyang Zhang, Haoyong Zhang, Jing Chen, Shuting Feng, Jie Guo, and Yanpeng Lv. 2025. "A Study on Non-Contact Multi-Sensor Fusion Online Monitoring of Circuit Breaker Contact Resistance for Operational State Awareness" Energies 18, no. 10: 2667. https://doi.org/10.3390/en18102667

APA Style

Wang, Z., Zhang, H., Zhang, Y., Zhang, H., Chen, J., Feng, S., Guo, J., & Lv, Y. (2025). A Study on Non-Contact Multi-Sensor Fusion Online Monitoring of Circuit Breaker Contact Resistance for Operational State Awareness. Energies, 18(10), 2667. https://doi.org/10.3390/en18102667

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