小波分析在负载识别中的应用  

Application of wavelet analysis in recognizing the electrical appliances

作　　者：刘宁宁[1] 亢海伟[1] 高蒙[1] 

机构地区：[1]石家庄铁道学院电气工程系,河北石家庄050043

出　　处：《河北省科学院学报》2004年第1期8-12,共5页Journal of The Hebei Academy of Sciences

摘　　要：运用小波分析对学生公寓用电负载的波形进行分析与讨论,通过计算各种负载及混合负载电流的能量和小波变换后不同层的能量及其比值,作为负载识别的依据,识别出大功率阻性负载与计算机,对杜绝学生违章用电及防止火灾有重大意义。The wave of electrical appliances being used in the student apartment was analyzed and discussed with wavelet analysis.The energy of the electrical current and the different layers after wavelet transform and their ratios were calculated,which were the base to the recognizing of the electrical appliances.The results show that they can carry out the recognizing of the high-power load and computers effectively and concisely.

关 键 词：小波分析 负载识别 能量 波形 信号分析 Meyer小波 

分 类 号：TN911.6[电子电信—通信与信息系统]