Comparison of Cohen Class Time-frequency Distribution and Application on PD Singal Processing

作者：Yanming Li · 发表于：Gaoya dianqi · 年份：2010 · 被引用次数：1 · 研究领域：Sensor Technology and Measurement Systems、Advanced Sensor and Control Systems、Advanced Computational Techniques and Applications

Based on parameterization functions,this paper introduces six typical time-frequency energy distributions known as the Cohen′s class.From a theoretical point of view and application,the interference cross-terms attenuation and time-frequency resolution of those distributions have been discussed respectively.According to the characteristic of non-stationary partial discharge(PD) signals,these distributions have been applied to simulation PD signals and the real ones.The results show that the smoothing-pseudo Choi-Williams distribution(SPCWD) provides a high sensitivity to variation in short duration of the non-stationary PD signal, which is available to extract the time-varying information.This distribution provides a powerful tool to evaluate parameters for single PD pulse shape and analyze time-frequency variation of PD sequence,which can be used to PD pattern recognition and in-depth study of PD mechanism in the electrical insulation system.