Filtering detection system and method based on partial discharge characteristic spectrum

The invention relates to a filtering detection system and method based on a partial discharge characteristic spectrum. The filtering detection system mainly comprises an electrode model for simulating discharge defects, an optical lens, an optical fiber, an optical filter, a photomultiplier and an upper computer. A spectrograph is used for capturing spectral information generated by partial discharge, characteristic spectrums of different insulating gases are determined through further analysis and decoupling, optical filters are selected according to the characteristic spectrums, optical pulse signals are detected in cooperation with a photomultiplier, and the purpose of enhancing optical signals of characteristic spectrum sections is achieved. Noise signals generated by non-characteristic spectrum sections are filtered out, the response speed is increased, and timely early warning is carried out on partial discharge. 本发明涉及一种基于局部放电特征光谱的滤光检测系统及方法，主要包括模拟放电缺陷所用电极模型、光学透镜、光纤、滤光片、光电倍增管以及上位机。使用光谱仪对局部放电产生的光谱信息进行捕捉，通