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基于ICCD的高压电晕放电紫外光谱检测 被引量:5

Detection of ultraviolet spectrum based on ICCD in the high voltage corona discharge
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摘要 对高压电器局部自持放电的光强谱系的强度分布进行了分析,建立了高压电晕放电紫外光谱特征谱线下光强与探测距离的关系,并采用紫外光谱功率法对高压电气设备的电晕放电进行了实验研究。实验系统包括针极放电装置及ICCD探测器,通过光纤传输对日盲区紫外光谱进行探测。试验中调整光纤探头位置,分别改变光纤探头垂直距离和光纤探头距中心点左右偏移距离,采集相应的紫外光谱,并对波长为262.773 nm、265.456 nm和274.435 nm处的光谱强度与偏移位置之间的关系进行数据拟合,拟合后的指数函数形式与理论分析相吻合。对采集的紫外光谱数据采用Burg递推算法进行功率谱估计,发现大约350 Hz的功率谱密度可作为特征参量,表明了对电晕放电点识别的可行性。 Through theory modeling, the mathematics model of the discharge intensity distribution in high voltage apparatus was studied in this paper, and the relationship of spectral line light intensity and detection distance was constructed. Then the intensity measurement of corona discharge ultraviolet spectrum in high voltage electric equipment experiment was studied. The whole detection system included needle discharge device and ICCD detector. Through the optical fiber transmission, the solar-blind ultraviolet spectrum was detected. In the experiment, optical fiber probe position was adjusted, the vertical distance of optical fiber probe and optical fiber probe about distance from the center of migration was changed respectively. Acquisition corresponding ultraviolet spectrum, and the relationship between intensity and location at 262.773 nm, 265.456 nm and 274.435 nm with different offset nosition wavelength, and the track of the interaction between is an exponential curve. This discovery is consistent with the theoretical analysis. Using Burg recursion algorithm for power spectrum estimation to collect ultraviolet spectrum data, it is found that the power spectral density of 350 Hz can be used as characteristic parameter. It shows that the corona discharge point identification is feasible.
出处 《红外与激光工程》 EI CSCD 北大核心 2013年第9期2431-2436,共6页 Infrared and Laser Engineering
基金 国家自然科学基金(51309001 61201109 51007002) 安徽省高校省级科学研究重点项目(KJ2013A055)
关键词 电晕放电 ICCD探测器 紫外光谱 功率谱密度 corona discharge ICCD detection ultraviolet spectrum power spectrum density
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