ICC电流与人体脑电波相关性的研究
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摘要
现代社会使用的越来越多的新型家用电器,其中许多电器中的电力电子设备会产生大量的谐波和间谐波等电能质量的污染。特别是其中低于工频的间谐波频率与人体脑电波频率相接近,因此有可能产生共振进而影响人体的健康。因此,研究某些家用电器中的间谐波成分是否对人体脑电波有影响,有一定的现实意义。
本文研究了ICC(Integral Cycle Control)电流对人体脑电波的影响。ICC技术是一种有效的降低电压的方式,它使用一种简单的电力装置将输入电压的一个或几个(或半个)周期减少为0,从而达到减小平均电压的目的。此研究建立了一个纯阻性负载的实验平台采集了同步的ICC电流数据和脑电波数据。实验中选择了过零型的固态继电器作为ICC电流的开关,并用LabVIEW软件编程方式产生控制脉冲来控制固态继电器。脑电波仪选择的是16导输入的脑电波仪。为了采集到ICC电流和脑电波的同步数据,利用电流探头将电流信号转换为电压信号然后输入到脑电波仪与脑电波进行同步测量。最后在人脑在实验平台附近的情况下采集了在不同功率下的ICC电流和脑电波数据。
采集得到的脑电波数据由于有工频的干扰,所以需要对测得的脑电波数据进行工频陷波,本文采用凯赛窗函数法设计了一个工频陷波器对脑电波数据进行滤波。然后分别对电流信号和滤波后的脑电波信号分别进行有效值分析和平均值分析。最后对处理之后的数据采用相关性分析的方法,计算电流数据和脑电波数据的相关系数并选择了一个检验统计量进行比较,比较之后证明ICC电流和脑电波数据具有一定的相关性。
通过以上结论可以证实家用电器中的ICC输出信号与脑电波有一定的相关性,也就是ICC电流及其间谐波有可能会对人体脑电活动有一定的影响。
More and more power electronics device used in household appliances in modern times may produce many power quality questions such as harmonics and interharmonics. Especially the low frequency of interharmonics which between zero and power frequency is close to the frequency of human being's EEG, which probably results correlation. Therefore, the interharmonics may influence human's healthy. So it is very significant to do the researching of weather there is influence between interharmonics and human being's EEG.
This dissertation does the research that weather ICC current influence human being's EEG Integral Cycle Control (ICC) is an efficient voltage reduction scheme that reduces its input voltage to zero in one or more cycles (or half cycles) in a periodic fashion using simple power electronic devices, which can reduce average voltage. This research constructs an experiment flat-top whose load is a resistance to gather the synchronous data of ICC current and EEG The experiment chooses Solid-State Relay as the switch of ICC current and a 16 inputs EEG amplifier, as the same time, the experiment used LabVIEW programming to control the SSR. To gather the synchronous data of ICC current and human being's EEG , we first use current probe to change the current signal into a voltage signal and then input it into the EEG amplifier for the synchronous measurement of the EEG data. After all this, the paper gathered synchronous data of ICC and EEG under different active powers.
50Hz power frequency interference in the environment is the main noise of EEG, this paper designs a 50Hz notch filter based on kaiser function . Following this, this paper makes virtual value analysis to the ICC data and makes average value analysis to the EEG data after filtering. After data analysis the paper made correlation analysis, then calculate the correlation coefficient and compare correlation coefficient with the test statistic we choose.
Through the above-mentioned analysis may verify that there is certain correlation between ICC current of household appliances and human being's EEG. That is to say that ICC current and interharmonics may influence human being's EEG
本文研究了ICC(Integral Cycle Control)电流对人体脑电波的影响。ICC技术是一种有效的降低电压的方式,它使用一种简单的电力装置将输入电压的一个或几个(或半个)周期减少为0,从而达到减小平均电压的目的。此研究建立了一个纯阻性负载的实验平台采集了同步的ICC电流数据和脑电波数据。实验中选择了过零型的固态继电器作为ICC电流的开关,并用LabVIEW软件编程方式产生控制脉冲来控制固态继电器。脑电波仪选择的是16导输入的脑电波仪。为了采集到ICC电流和脑电波的同步数据,利用电流探头将电流信号转换为电压信号然后输入到脑电波仪与脑电波进行同步测量。最后在人脑在实验平台附近的情况下采集了在不同功率下的ICC电流和脑电波数据。
采集得到的脑电波数据由于有工频的干扰,所以需要对测得的脑电波数据进行工频陷波,本文采用凯赛窗函数法设计了一个工频陷波器对脑电波数据进行滤波。然后分别对电流信号和滤波后的脑电波信号分别进行有效值分析和平均值分析。最后对处理之后的数据采用相关性分析的方法,计算电流数据和脑电波数据的相关系数并选择了一个检验统计量进行比较,比较之后证明ICC电流和脑电波数据具有一定的相关性。
通过以上结论可以证实家用电器中的ICC输出信号与脑电波有一定的相关性,也就是ICC电流及其间谐波有可能会对人体脑电活动有一定的影响。
More and more power electronics device used in household appliances in modern times may produce many power quality questions such as harmonics and interharmonics. Especially the low frequency of interharmonics which between zero and power frequency is close to the frequency of human being's EEG, which probably results correlation. Therefore, the interharmonics may influence human's healthy. So it is very significant to do the researching of weather there is influence between interharmonics and human being's EEG.
This dissertation does the research that weather ICC current influence human being's EEG Integral Cycle Control (ICC) is an efficient voltage reduction scheme that reduces its input voltage to zero in one or more cycles (or half cycles) in a periodic fashion using simple power electronic devices, which can reduce average voltage. This research constructs an experiment flat-top whose load is a resistance to gather the synchronous data of ICC current and EEG The experiment chooses Solid-State Relay as the switch of ICC current and a 16 inputs EEG amplifier, as the same time, the experiment used LabVIEW programming to control the SSR. To gather the synchronous data of ICC current and human being's EEG , we first use current probe to change the current signal into a voltage signal and then input it into the EEG amplifier for the synchronous measurement of the EEG data. After all this, the paper gathered synchronous data of ICC and EEG under different active powers.
50Hz power frequency interference in the environment is the main noise of EEG, this paper designs a 50Hz notch filter based on kaiser function . Following this, this paper makes virtual value analysis to the ICC data and makes average value analysis to the EEG data after filtering. After data analysis the paper made correlation analysis, then calculate the correlation coefficient and compare correlation coefficient with the test statistic we choose.
Through the above-mentioned analysis may verify that there is certain correlation between ICC current of household appliances and human being's EEG. That is to say that ICC current and interharmonics may influence human being's EEG
引文
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[43]李守伟,钱省三.面向金融时间序列相关性的网络模型研究[J].商业研究.2006,347:5-7.
[44]周勇,林旬.时间序列相似性的图形相似方法研究[J].理论新探.2007,28-30.
[45]刘芮霞,杨皎平.基于结构元的时间序列分析与应用[J].科学技术与工程.2007,7(14):3343-3346
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[49]Zbigniew Bonikowski,Suhas Ghanasshyamkulkarni.Apparatus for detecting faults in electric cables.United States Patent Number:4,227,145,1977.
[50]Axicor T.Trihus.Cable tester.United States Patent Number:4,254,374,1979.
[51]Delano D.Wilson,Dale E.Hedman.Fault isolator for electric utility distribution systems.United States Patent Number:4,370,609,1981.
[52]David Adelbert Rhein,Lloyd Ronald Beard,Gerald Bernard Roberts,Thomas Jude Herrick.Fault detection system including a capacitor for generating a pulse and a processor for determining admittance versus frequency of a reflected pulse.United States Patent Number:5,650,728,1997.
[53]王宾,潘贞存,徐丙垠.配电系统电压跌落问题的分析[J].电网技术.2004,28(2):78-82.
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[3]张大海,徐文远.间谐波相序特性的研究[J].中国电机工程学报,2004,11:44-45.
[4]Yong Nong Chang,Gerald Thomas Heydt,and Yazhou Liu.The Impact of Switching Strategies on rower Quality for Integral Cycle Controllers[J].IEEE Transactions on power delivery,2003,6(23):21-22.
[5]刘亚宁.电磁生物效应[M].北京:北京邮电大学出版社.
[6]郝江涛,刘念,幸晋渝,薄丽雅,陈卓.电力系统中间谐波的危害[J].四川电力技术,2005,30(11):41-45.
[7]Chun Li,Wilsun Xu.On the ambiguity of defining and measuring inter-harmonics[J].IEEE rower Engineering Review,2001,21(7):56-57.
[8]林海雪.电力系统中的间谐波问题[J].供用电,2001,18(3)
[9]唐统一,吴震春,孙树勤.电力系统谐波[M].中国矿业大学出版社,1991.
[10]李圣清,朱英浩,等.电网谐波检测方法的综述[J].高电压技术,2004,30(3):39-42.
[11]邱关源.电路(第四版).高等教育出版社,2001.
[12]单渊达.电能系统基础.机械工业出版社,2001.
[3]王兆安,黄俊.电力电子技术(第四版).机械工业出版社,2003.
[14]陈坚.电力电子学——电力电子变换和控制技术(第二版).高等教育出版社,2004.
[15]张一工,肖湘宁.现代电力电子技术原理与应用.科学出版社,1999.
[16]侯国屏,王坤,叶齐鑫.LabVIEW7.1编程与虚拟仪器设计.清华大学出版社,2005.
[17][美]Robert H.Bishop著,乔瑞萍,林欣等译.LabVIEW7实用教程.电子工业出版社。2005.
[18]李海涛,邓樱.MATLAB程序设计教程.高等教育出版社,2002.
[19][美]Duane Hanselman,Bruce Littlefield著,朱仁峰译.精通Matlab7.清华大学出版 社,2006.
[20]陈杰.MATLAB宝典.电子工业出版社,2007.
[21]蒋光祖.晶闸管交流电力控制器.机械工业出版社,1988.
[22]陈兆国.时间序列及其谱分析.科学出版社.1988.
[23][美]S.M.潘迪特,吴宪民.时间序列及系统分析及应用.机械工业出版社.1990.
[24]胡广书.数字信号处理.清华大学出版社.2003.
[25]Aggarwal R K,Johns AT,Song Y H,et al.Neural-network based adaptive autoreclosure technique for EHV transmission systems.IEE Proceedings Generation,Transmission and Distribution,1994,141(21):155-160.
[26]Fitton D S,Dunn R W,Aggarwal R K,et al.Design and implementation of an adaptive single pole auto re-closure technique for transmission lines using artificial neural networks.IEEE Trans on Power Delivery,1996,11(2):748-756.
[27]李晶,裴亮,郁道银,曹茂永.一种用于电力系统谐波与间谐波分析的抄分辨率算法[J].电机工程学报.2006,141(21):155-160
[28]姚菊香,王盘兴,鲍学俊,卢楚翰.相关系数显著性检验的几何意义[J].南京气象学院学报.2007,11(2):748-756.
[29]Li Chongyin,Zhou Wen,Jia Xiaolong,et al.Decadal/Interdecadal variation of the ocean temperature and its impacts on climate[J].Adv Atmos Sci,2006,23(6):964-981.
[30]张建业,潘泉,张鹏,梁建海.基于斜率表示的时间序列相似性度量方法[J].2007(4):155-160.
[31]Pavlidis T,Horowitzs S L.Segmentation of Plane Curves.IEEE Trans on Computation,1974,23(8):860-870.
[32]Wang Da,Rong Gang.Pattern Distance of Time Series.Journal of Zhejiang University:Engineering Science,2004,38(7):795-798(inChinese)
[33]龙兴明,周静.心电信号预处理中基于MATLAB的陷波器设计[J].重庆师范学院学报.2003,11(2):114-116.
[34]石坚,杨永明.50Hz陷波器在脑电数据采集系统中的应用[J].重庆大学学报.2005,28(8):54-57.
[35]Ge Yaozhong,Sun Fenghai,Xiao Yuan.Prediction methods for preventing single-phase reclosing on permanent fault.IEEE trans on Power Delivery,1989,4(1):114-121.
[36]刘建业.概率论与数理统计.高等教育出版社.2003.
[37]刘东辉,孙晓云,何品纯,高慧泉,何钺.数字信号及陷波器在心电图信号检测中的应用[J].工业仪表与自动化装置.2002,2:46-48.
[38]庄常陵.相关系数检验法与方差分析一致性的讨论[J].高等函数学报.2003,16(4):11-13.
[40]姚莉.数字序列相关性分析方法的讨论。[J].Journal of Mathematical Medicine.2003,16(2):106-108
[42]刘劲松.数据挖掘中的现代时间序列分析方法.[J].信息技术.2007,7:100-149.
[43]李守伟,钱省三.面向金融时间序列相关性的网络模型研究[J].商业研究.2006,347:5-7.
[44]周勇,林旬.时间序列相似性的图形相似方法研究[J].理论新探.2007,28-30.
[45]刘芮霞,杨皎平.基于结构元的时间序列分析与应用[J].科学技术与工程.2007,7(14):3343-3346
[47]肖辉,胡运发.基于分段时间弯曲距离的时间序列挖掘[J].计算机研究与发展.2005,42(1):72-78.
[48]陆杰,刘付程,李廷友.连云港市大气污染物时间序列的长程相关性分析[J].环境污染与防治.2007,29(5):390-392.
[49]Zbigniew Bonikowski,Suhas Ghanasshyamkulkarni.Apparatus for detecting faults in electric cables.United States Patent Number:4,227,145,1977.
[50]Axicor T.Trihus.Cable tester.United States Patent Number:4,254,374,1979.
[51]Delano D.Wilson,Dale E.Hedman.Fault isolator for electric utility distribution systems.United States Patent Number:4,370,609,1981.
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