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生物触电信号高阶统计特征描述及分析方法 被引量:6

Description and analysis method of higher-order statistical characteristics for biological electric shock signal
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摘要 针对剩余电流保护技术中生物触电支路的触电电流具有复杂性及多样性的问题,应用高阶统计量组合算法与快速傅里叶变换相结合的方法,分析了剩余电流及触电电流特征量的变化规律,明确了剩余电流与触电电流的原信号及其各成分分量的高阶统计量的特征量存在显著相关性,相关系数平均值最高可达0.976 5.仿真试验表明:提取的剩余电流和触电电流高阶统计特征量中,直流分量,2,3,4,6,8次谐波特征量呈现出显著相关,相关系数平均值达到0.85以上,完成了剩余电流特征量与触电电流变化特性的定量化表征. To solve the complexity and diversity problems of the residual current protection technology in biological shock current branch,the combination method of higher-order statistics combinatorial algorithm and Fourier transform was used to analyze the variation law of residual current and electric shock current.The residual current and the electric shock current of original signal and higher-order statistics of each component of the feature vector components were demonstrated to have significant correlation with the average correlation coefficient up to 0. 976 5. The simulation results show that for the extractions of residual current and high-order statistical feature vector of electric shock current in biological electric shock signal,DC component,2rd,3th,4th,6th and 8th harmonic characteristic quantities present significant correlation. The average correlation coefficient is above 0. 85, and the quantitative characterizations of residual current characteristic and electric shock current change are realized.
作者 祁广云 李磊 关海鸥 杜松怀 QI Guangyun LI Lei GUAN Haiou DU Songhuai(College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang 163319, China College of In- formation and Electrical Engineering, China Agricultural University, Beijing 100083, China)
出处 《江苏大学学报(自然科学版)》 EI CAS CSCD 北大核心 2017年第2期173-178,185,共7页 Journal of Jiangsu University:Natural Science Edition
基金 黑龙江八一农垦大学校博士启动基金资助项目(XDB2015-10) 国家自然科学基金资助项目(51177165)
关键词 生物触电电流 剩余电流保护 高阶统计量 傅里叶变换 特征分析 biological electric shock current residual current protection higher-order statistics Fourier transform characteristic analysis
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