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作 者:王平[1] 于琨 郭佳熠 潘亦睿 耿江海[1] 王一林 律方成[1] WANG Ping;YU Kun;GUO Jiayi;PAN Yirui;GENG Jianghai;WANG Yilin;L Fangcheng(Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense(North China Electric Power University),Baoding 071003,China;State Grid Tianjin Chengxi Company,Tianjin 300190,China;China Electric Power Research Institute Co.,Ltd,Beijing 100192,China)
机构地区:[1]河北省输变电设备安全防御重点实验室(华北电力大学),河北保定071003 [2]国网天津城西公司,天津3001903 [3]中国电力科学研究院有限公司,北京100192
出 处:《华北电力大学学报(自然科学版)》2023年第4期41-52,共12页Journal of North China Electric Power University:Natural Science Edition
基 金:国家电网有限公司科技项目(5200-202155592A-0-5-GC)。
摘 要:特高压变电站内声源种类众多、声环境复杂,给基于声信号的特高压并联电抗器状态评估与故障检测带来了巨大挑战。为解决这一问题,本文提出了一种基于麦克风阵列的目标电抗器噪声提取与分离技术,用于提取目标电抗器本体的声信号,首先通过一种基于掩蔽的波束形成算法分离目标电抗器非同向噪声,然后通过欠定盲源分离算法分离目标电抗器同向噪声,实现了变电站内复杂噪声的有效分离。通过在屏蔽室内设置验证性试验,证明本方法的误差率小于10%,满足工程应用的需要。本方法的提出解决了变电站内现场噪声分离提取的困难,对于特高压并联电抗器的故障诊断具有积极意义。The variety of sound sources and the complex acoustic environment in UHV transformer substations bring great challenges to the state evaluation and fault detection of UHV shunt reactors based on acoustic signals.In order to solve this problem,this paper proposed a noise extraction and separation technique of target reactor based on the microphone array,which is used to extract the acoustic signal of the target reactor body.Firstly,we separated the non-homonymous noise of the target reactor through a mask-based beamforming algorithm,then the co-directional noise of the target reactor was separated by the underdetermined blind source separation algorithm so as to realize the effective separation of complex noise in the substation.Through a verification test in the shielded room,it is proved that the error rate of this method is less than 10%,which meets the needs of engineering applications.The proposed method solves the difficulty of on-site noise separation and extraction in substation,which is of positive significance for the fault diagnosis of UHV shunt reactor.
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