基于改进脉冲耦合神经网络模型的真空电弧燃烧过程研究

doi:10.19595/j.cnki.1000-6753.tces.181158

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Abstract The combustion process of Vacuum arc, such as the evolution of arc shape and the change of characteristic parameters during the breaking process of short current, is one of the key characteristics that determines the breaking capacity of vacuum circuit breakers(VCBs). In this study, an improved pulse coupled neural network (PCNN) model was firstly established to perform multi-value segmentation of vacuum arc images. Then, the morphological technique was used to select the connected domain and filter the edge noise of the segmented arc image, the characteristic parameters, such as the displacement of the moving contact and the arc area, were quantified. Finally, combining the characteristic parameter curves and the arc experiment images, the combustion process of vacuum arc during the entire breaking process, including the generation, development and extinction of vacuum arc, were analyzed quantitatively and qualitatively. The research results illustrated that the improved PCNN model showed rich details and features, distinct edges, low noise and high accuracy of segmentation, it was suitable to process vacuum arc images which have large gradient changes of gray in the edge region. Based on the arc characteristic parameters and experimental results, the quantitative and qualitative analysis of the arc combustion process was more detailed and deeper than our previous research work. The peak arc current had a great influence on the arc area, the moment of maximum arc area, the duration of the arc combustion stages and the transformation process. This paper combines quantitative and qualitative research results, and deeply studies the combustion process of arc during the breaking process of VCBs, which can provide reference for vacuum arc regulation strategy.

Key words： Vacuum arc combustion process pulse coupled neural network morphology technology

Received: 04 July 2018 Published: 12 October 2019

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TM561.2

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	Xiang Chuan
	Wang Hui
	Shi Pengfei
	Dong Huajun

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Xiang Chuan,Wang Hui,Shi Pengfei等. Research on the Combustion Process of Vacuum Arc Based on an Improved Pulse Coupled Neural Network Model[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4028-4037.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181158 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I19/4028

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