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Issue title: Special Section: Big data analysis techniques for intelligent systems
Guest editors: Ahmed Farouk and Dou Zhen
Article type: Research Article
Authors: Sang, Zhongqinga; b | Zhang, Renchenga; *
Affiliations: [a] Huaqiao University, Quanzhou, Xiamen, Fujian, China | [b] College of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, Fujian, China
Correspondence: [*] Corresponding author. Rencheng Zhang, Huaqiao University, Quanzhou, Xiamen, Fujian, 361024, China. E-mail: [email protected].
Abstract: Focused on the security of switchgear, this paper presented a complete set of an online detection system for the temperature rise of switchgear based on branch definition algorithm. This paper analyzed the characteristics of the temperature rise of the low-voltage circuit breaker terminal, and then proposed a new temperature rise model of the terminal through the thermal network method. In this paper, the influence factors of the temperature rise of the terminal analyzed through the test data, and the temperature rise curve also fitted by using the least squares method. The range of temperature rise time constants for the 100A low-voltage circuit breaker terminal obtained, and the method of quickly deriving the steady temperature rise of the low-voltage circuit breaker terminal discussed. The simulation results show that the optimization of the algorithm can provide a scientific evaluation method and improved strategy for the on-line detection of temperature rise of complete switchgear.
Keywords: Branch definition algorithm, switch equipment, temperature rise
DOI: 10.3233/JIFS-179150
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3461-3468, 2019
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