倾斜直流场下的介质板击穿统计分析

传统分析介质板次级电子倍增问题的粒子追踪算法方法存在运算耗时长、运算量大等缺点,为此采用统计方法实现了倾斜强直流场下介质击穿过程中次级电子倍增效应的数值模拟,给出了击穿过程中电子数量,电子渡越时间等关键参数的时间图像,同时研究了倾斜角、介质表面光滑度和次级电子产生率对次级电子倍增效应的影响。研究结果表明：强直流场下的次级电子倍增效应存在倾斜角的区域,倾斜角太大或者太小,都可能不会发生次级电子倍增效应,如果倾斜角位于区域内,则饱和状态时电子数目随着倾斜角度的变大而变小;选取光滑系数和次级电子产生系数越小的介质材料,抑制次级电子倍增效应的效果越好。     

开关放电分散性对FLTD模块输出的影响模拟

建立了包含开关放电分散性的电路模型,模型通过电压控制开关和自击穿开关模型的结合,可对开关抖动及支路间放电的相互影响进行模拟,利用研制的300 kA单级直线型变压器驱动源(FLTD)模块进行了实验验证,模拟结果与实验相吻合。进而针对设计的20支路FLTD模块建立了电路模型,模拟分析了模块支路开关放电分散性对输出电流峰值和上升沿的影响,模拟结果表明,开关抖动小于5 ns时对模块输出影响较小。     

热处理对CH薄膜表面粗糙度及力学性能的影响

利用低压等离子体化学气相沉积法制备厚度约为7 m的辉光放电聚合物薄膜,将制备的薄膜样品放入通有氩气保护的热处理炉中加热至300 ℃,分别进行6,10,24 h的保温热处理。通过白光干涉仪观察分析了不同保温时间下辉光放电聚合物薄膜的表面粗糙度; 利用傅里叶变换红外吸收光谱分析了300 ℃条件下不同保温时间对薄膜结构的影响; 采用纳米压痕仪表征了不同保温时间热处理后,薄膜硬度及模量的变化。结果表明:随着保温时间的增加,薄膜的表面均方根粗糙度由12 nm降至4.43 nm。薄膜结构中甲基的相对含量减少,双键的相对含量增加,碳链变长,同时薄膜网络结构的交联化程度增强。硬度和模量随着保温时间的增加先减小后增大。     

在线气体分析的电晕放电大气压电离质谱

研制了适合在线气体分析的电晕放电大气压电离源(corona discharge atmospheric pressure ionization source)及其与商品质谱仪(LTQ-MS)的接口,对其试剂离子的产生机理进行了研究,以H2O. (H2O)为试剂离子,对乙醇气体进行检测,并分析了该离子的产生机制。实验结果表明:在潮湿氮气中电晕放电产生的主要试剂离子是m/z36、37和55;而在含丙酮的潮湿氮气中则产生m/z59和76等离子。利用静态顶空-电晕放电大气压电离质谱对不同浓度的乙醇水溶液进行分析,结果表明:以m/z64为检测对象,乙醇气体浓度的最低检出限可达2.4×10-7g/L;而以m/z47为检测对象,检出限为5.9×10-6g/L。同时还利用动态顶空-电晕放电大气压电离质谱对栀子花香气成分进行了检测,为生物挥发性物质的在线检测提供了一种新方法。     

电容放电式脉冲励磁电源研究

 针对大型直线感应加速器单次工作的特点,研制了一种电容放电式脉冲励磁电源。该电源利用电容器的储能特性,取代常规电源的变压整流滤波部分,先对其以小电流恒流充电,然后再以大电流恒流放电来获得直线感应加速器励磁电流。对这种电源进行了理论分析和模拟计算,模拟结果与实验结果基本一致。实验结果表明：这种电源能够脉冲工作,同时输入功率大幅度降低,在输出电流500 A,持续时间0.3 s时,输入功率400 W,输出功率25 kW,电流稳定度0.2%, 谐波小, 电流纹波小,所用电容器100块左右(33 mF),经济上也可承受,是一种非常适合直线感应加速器的励磁电源。     

平台式和斜坡式表面放电辐射源放电特性的比较

 介绍了平台式和斜坡式两种结构的表面放电辐射源,研究了在1.0 μF和1.5 μF储能电容、15~30 kV充电电压等实验条件下两种辐射源的放电特性,并对实验结果进行了比较分析。得到如下结论：对于斜坡式辐射源,增加电极间距可导致放电回路面积增大,因此等效电阻和等效电感也将增加;在相同电压及电容值条件下,斜坡式辐射源的放电电流、平均沉积功率均小于平台式辐射源的相应值,但放电沉积效率略大;电压升高使放电周期、电流达到峰值时间及放电沉积效率呈减小趋势,对于同一种辐射源,使用1.5 μF电容时放电回路参数更加匹配,放电沉积效率得到提高。     

GIS Partial Discharge Pattern Recognition Based on a Novel Convolutional Neural Networks and Long Short-Term Memory

Distinguishing the types of partial discharge (PD) caused by different insulation defects in gas-insulated switchgear (GIS) is a great challenge in the power industry, and improving the recognition accuracy of the relevant models is one of the key problems. In this paper, a convolutional neural network and long short-term memory (CNN-LSTM) model is proposed, which can effectively extract and utilize the spatiotemporal characteristics of PD input signals. First, the spatial characteristics of higher-level PD signals can be obtained through the CNN network, but because CNN is a deep feedforward neural network, it does not have the ability to process time-series data. The PD voltage signal is related to the time dimension, so LSTM saves and analyzes the previous voltage signal information, realizes the modeling of the time dependence of the data, and improves the accuracy of the PD signal pattern recognition. Finally, the pattern recognition results based on CNN-LSTM are given and compared with those based on other traditional analysis methods. The results show that the pattern recognition rate of this method is the highest, with an average of 97.9%, and its overall accuracy is better than that of other traditional analysis methods. The CNN-LSTM model provides a reliable reference for GIS PD diagnosis.     

Micro-pinch formation and extreme ultraviolet emission of laser-induced discharge plasma

Extreme ultraviolet(EUV) source produced by laser-induced discharge plasma(LDP) is a potential technical means in inspection and metrology. A pulsed Nd:YAG laser is focused on a tin plate to produce an initial plasma thereby triggering a discharge between high-voltage electrodes in a vacuum system. The process of micro-pinch formation during the current rising is recorded by a time-resolved intensified charge couple device camera. The evolution of electron temperature and density of LDP are obtained by optical emission spectrometry. An extreme ultraviolet spectrometer is built up to investigate the EUV spectrum of Sn LDP at 13.5 nm. The laser and discharge parameters such as laser energy, voltage, gap distance,and anode shape can influence the EUV emission.     

Review on ionization and quenching mechanisms of Trichel pulse

Trichel pulse is a kind of pulsed mode in negative DC corona discharge, which has attracted significant attention because of its considerable applications in industry. Over eighty years, plenty of effort including simulations and experiments has been spent to reveal the ionization and quenching mechanisms of Trichel pulse. By revisiting and summarizing the basic characteristics and well-accepted ionization and quenching mechanisms, this review provides a basic understanding and the current status of Trichel pulse.     

潘宁放电在密封电真空器件真空度测量中的应用

密封电真空器件的可靠性尤其重要,而影响其可靠性的主要因素是真空度。对于具有两个电极的密封电真空器件由于无法利用其自身的电极结构直接测定其真空度,因此需要研究并建立一种合适的真空度测量方法。分析了利用潘宁放电来测量两个电极的密封电真空器件真空度的工作原理,设计了测试实验装置,初步建立了密封电真空器件的潘宁放电模型,给出了有关实验数据。