基于小波奇异性分析变压器油中氢气监测

Analysis of On-Line Detection of Hydrogen Gas Concentration in Power Transformer based on Singularity Detection With Wavelet

介绍小波理论中的信号奇异性检测方法 ,将其应用于一个实际的变压器油中氢气浓度在线监测曲线 ,确定信号突变的发生时刻、计算出突变点的 L ipschitz指数α和平滑因子σ ,取得了满意的效果。

This paper applies the wavelet based singularity detection method to detect the variation of hydrogen gas concentration in power transformer oil. It seems that this method can determine the break-point of the signal and calculate Lipschitz index α and the smoothness factor σ .