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基于无线传输的智能小区门禁系统设计
引用本文:刘东辉,张新岭,邱金蕙,孙晓云.基于无线传输的智能小区门禁系统设计[J].河北工业科技,2007,24(1):37-40.
作者姓名:刘东辉  张新岭  邱金蕙  孙晓云
作者单位:1. 河北科技大学信息科学与工程学院,河北石家庄,050054
2. 河北科技大学信息科学与工程学院,河北石家庄,050054;军械工程学院光学与电子工程系,河北石家庄,050003
3. 石家庄职业技术学院计算机系,河北石家庄,050081
4. 军械工程学院光学与电子工程系,河北石家庄,050003
摘    要:提出了一种基于支持向量机的机械故障诊断模型,该模型建立在VC维理论和结构风险最小原理基础上,根据有限的样本信息在模型的复杂性和学习能力之间寻求最佳折中,以期获得最好的推广能力。在选取诊断模型输入向量时,对故障信号功率谱进行小波分解,简化了故障特征向量的提取。仿真结果验证了该模型的有效性。

关 键 词:小波包分析  故障诊断  支持向量机  核函数
文章编号:1008-1534(2007)01-0037-03
收稿时间:2006/9/21 0:00:00
修稿时间:2006年3月24日

Design of an intelligent district access control system based on wireless transmission
LIU Dong-hui,ZHANG Xin-ling,QIU Jin-hui and SUN Xiao-yun.Design of an intelligent district access control system based on wireless transmission[J].Hebei Journal of Industrial Science & Technology,2007,24(1):37-40.
Authors:LIU Dong-hui  ZHANG Xin-ling  QIU Jin-hui and SUN Xiao-yun
Institution:College of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang Hebei 050054, China;College of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang Hebei 050054, China;The Third Hospital, Hebei Medical University, Shijiazhuang Hebei 050051, China;College of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang Hebei 050054, China
Abstract:A machinery fault diagnosis model based on support vector machine(SVM) was proposed.The model was built on Vapnik-Chervonenkis dimension and structural risk minimization principle.According to limited sample information,the model seeks the optimal approach between complexity and study ability of the model so that it can obtain good extending ability.In selecting input vectors,the power spectrum of fault signals are decomposed by wavelet analysis,which predigests choosing method of fault eigenvectors.The simulation results show the validity of the model.
Keywords:wavelet packet analysis  fault diagnosis  support vector machine  kernel function
本文献已被 CNKI 维普 万方数据 等数据库收录!
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