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作 者:唐炬[1] 孟庆红[1] 王存超[1] 李伟[1] 姚陈果[1]
机构地区:[1]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆400030
出 处:《高电压技术》2010年第4期821-827,共7页High Voltage Engineering
基 金:国家重点基础研究发展计划(973计划)(2009CB724506)~~
摘 要:气体绝缘组合电器(GIS)内部结构的复杂性和绝缘缺陷类型的多态性导致可能同时存在多种绝缘缺陷。为此对两种组合绝缘缺陷产生的局部放电(PD)混合信号进行了分离研究,针对PD混合信号的特点,提出采用非平稳源分离(SONS)算法,对由两种单一实测绝缘缺陷产生的PD信号构造的人工PD混合信号和实测的两组PD混合信号进行了分离,并用分离评价参数性能指标(PI)和信号干扰比(SIR)对分离效果进行了评价,结果表明,该分离方法能可靠地进行分离,有效恢复各单一PD源信号。同时,该分离算法可推广应用到两种以上PD混合信号的分离,为后续对组合绝缘缺陷的缺陷辨识提供方便。The complexity of internal structure and the polymorphism of insulation defect types in gas insulated switchgear (GIS) lead to multiform insulation defects possibly existing in GIS under long-term operating voltage. We studied the separation of partial discharge (PD) mixing signals produced by two types of insulation defects and put forward the SONS separation algorithm which was suitable for the non-stationary source signals. The separation was implemented for simulating PD mixing signals by single PD source signals incited by single insulation defects and actual PD mixing signals in GIS model. Two evaluation parameters including performance index (PI) and signal interference ratio (SIR) were employed to evaluate its separation effect. The parameters via separation indicate the SONS algorithm can effectively separate mixing PD signals and regain single PD source signals. Furthermore,the SONS algorithm can be used to separate PD mixtures of more than two types of insulation defects,which is convenient to the subsequent defect identification of multiple insulation defects in GIS.
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