基于反卷积原理的一种信号恢复技术研究  

Study on New Signal Recovery Technique Base on Deconvolution Principle

作　　者：赵璐[1] 刘益麟 杨雪芳 

机构地区：[1]上海电力学院,上海200093 [2]上海浦东供电公司,上海200122

出　　处：《绝缘材料》2014年第4期66-69,共4页Insulating Materials

基　　金：国家科学自然基金项目(51007055)

摘　　要：由于声波在固体介质中传递存在衰减和色散,导致PEA空间电荷测量信号发生畸变。在分析PEA空间电荷分布信号的基础上,采用高斯函数模拟电极附近的空间电荷分布信号,对声波传递过程中不同频率信号衰减因子进行求取,利用反卷积技术实现了空间电荷分布曲线的恢复。利用该数据处理技术对不同老化时间的电缆绝缘材料的空间电荷分布信号进行恢复,结果表明:通过信号的恢复,绝缘体中的空间电荷分布更加明显;随着老化时间的增加,绝缘体中的缺陷增多,其空间电荷也越来越多。因此可采用空间电荷分布状态实现对绝缘老化状态的评估。The attenuation and dispersion phenomena exist in the transmission process of acoustic wave, which lead to distortion of PEA space charge signal. Base on analyzing the distribution of space charge signal, the space charge distribution signal near the electrodes was simulated by the Gaussian function, and the reduction factor of different frequency signals in the transmission process of acoustic wave were obtained. The space charge distribution curve was recovered by deconvolution technique. The space charge distribution signals of high voltage cables with various ageing time was recovered by the data pro-cessing technology. The results show that the space charge distribution in the insulation is more obvious after the recovery of signals. With the increase of ageing time, the defects in the insulation increases, and the space charge become more and more. Therefore, the space charge distribution can assess the insu-lation ageing condition.

关 键 词：老化 空间电荷 电声脉冲法 衰减模型 反卷积技术 恢复 

分 类 号：TM215[一般工业技术—材料科学与工程]