Ren Ming, Song Bo, Zhuang Tianxin, Yang Shujing
State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University, 28 Xianning West Road, Beilin District, Xi'an 710049, Shaanxi Province, China.
State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University, 28 Xianning West Road, Beilin District, Xi'an 710049, Shaanxi Province, China.
ISA Trans. 2018 Apr;75:247-257. doi: 10.1016/j.isatra.2018.02.008. Epub 2018 Feb 21.
Light emitted from partial discharges (PDs) in SF gas is investigated in the view point of insulation status diagnostics. Light intensity and integral spectrum of PD are proved to have significant correlations with PD activities and the involved dielectric interfaces. Based on synchronous light pulse detections in ultraviolet (UV), visible (VIS) and near-infrared (NIR) regions, the multispectral stochastic PD diagnosis is realized with more information beyond the conventional PD detections. The optical PD detection is also compared with ultra-high frequency (UHF) PD detection and acoustic emission (AE) PD detection in term of linearity, sensitivity and statistical property. Beyond that, a clustering analysis is performed on the multispectral photon counts of different conditions by quantifying them in a ternary diagram where some distinguishable regions emerge for PD recognition.
从绝缘状态诊断的角度对六氟化硫（SF）气体中局部放电（PD）发出的光进行了研究。结果表明，局部放电的光强和积分光谱与局部放电活动及相关的介质界面有显著相关性。基于在紫外（UV）、可见（VIS）和近红外（NIR）区域的同步光脉冲检测，实现了多光谱随机局部放电诊断，该诊断包含了比传统局部放电检测更多的信息。还从线性度、灵敏度和统计特性方面将光学局部放电检测与超高频（UHF）局部放电检测和声发射（AE）局部放电检测进行了比较。除此之外，通过在三元图中对不同条件下的多光谱光子计数进行量化，对其进行了聚类分析，其中出现了一些可区分的区域用于局部放电识别。
