Novel method for identifying the stages of discharge underwater based on impedance change characteristic

Pub Date : 2023-11-16 DOI:10.1088/2058-6272/ad0d56
Chong Gao, Zhongjian Kang, Dajian Gong, Yang Zhang, Yufang Wang, Yiming Sun
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Abstract

It is difficult to determine the discharge stages in a fixed time of repetitive discharge underwater due to the arc formation process being susceptible to external environmental influences. This paper proposes a novel underwater discharge stage identification method based on the Strong Tracking Filter (STF) and impedance change characteristics. The time-varying equivalent circuit model of the discharge underwater is established based on the plasma theory analysis of the impedance change characteristics and mechanism of the discharge process. The STF is used to reduce the randomness of the impedance of repeated discharges underwater, and then the universal identification resistance data is obtained. Based on the resistance variation characteristics of the discriminating resistance of the pre-breakdown, main, and oscillatory discharge stages, the threshold values for determining the discharge stage are obtained. These include the threshold values for the resistance variation rate (K) and the moment (t). Experimental and error analysis results demonstrate the efficacy of this innovative method in discharge stage determination, with a maximum mean square deviation of Scr less than 1.761.
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根据阻抗变化特征识别水下放电阶段的新方法
由于电弧形成过程易受外部环境影响,因此很难确定水下重复放电固定时间内的放电阶段。本文提出了一种基于强跟踪滤波器(STF)和阻抗变化特性的新型水下放电阶段识别方法。基于等离子体理论分析了放电过程的阻抗变化特征和机理,建立了水下放电的时变等效电路模型。利用 STF 降低水下重复放电阻抗的随机性,进而得到通用识别电阻数据。根据预击穿、主放电和振荡放电阶段的鉴别电阻的电阻变化特征,得到确定放电阶段的阈值。这些阈值包括电阻变化率 (K) 和时刻 (t) 的阈值。实验和误差分析结果表明,这种创新方法在确定放电阶段方面非常有效,其最大均方偏差 Scr 小于 1.761。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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