基于红外光谱法的GIS设备SF_(6)气体泄漏识别研究

Study on Identification of SF_(6) Gas Leakage of GIS Equipment Based on Infrared Spectroscopy

当前GIS设备SF_(6)气体泄漏识别的特征提取一般为独立形式,导致识别效率较低。为此进行基于红外光谱法的GIS设备SF_(6)气体泄漏识别研究。根据当前设备的需求及标准,首先进行气体泄漏异常数据的采集,并提取泄漏信号的共性特征,以此来提高识别的效率;然后构建红外光谱SF_(6)气体泄漏识别模型,并采用多维修正的方式来强化识别结果。测试结果表明,针对随机选定的4台GIS设备,经过3个周期的测试,最终得出的泄漏位置识别数均可达到15次以上,说明在红外光谱法的辅助下,设计的GIS设备SF_(6)气体泄漏识别方法更加灵活且针对性强,具有实际的应用价值与创新意义。

The current feature extraction for SF_(6) gas leakage identification of GIS equipment generally adopts an independent mode,which leads to low recognition efficiency.Therefore this paper studies the infrared spectroscopy based identification of SF_(6) gas leakage of GIS equipment.Based on the current equipment requirements and standards,first the abnormal gas leakage data are collected and common features of leakage signals are extracted to improve recognition efficiency.Then a SF_(6) gas leakage identification model using infrared spectroscopy is constructed and a multidimensional correction method is used to enhance the identification results.The test results show that for the randomly selected 4 GIS devices,the proposed method can achieve 15 or more times of leakage identification after three cycles of testing,indicating its high flexibility and selectivity with the assistance of infrared spectroscopy,as well as potential practical application value and innovative significance.