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粗糙集-神经网络集成的WSN节点故障诊断
引用本文:雷霖,代传龙,王厚军,赵旭.粗糙集-神经网络集成的WSN节点故障诊断[J].电子科技大学学报(社会科学版),2008(4).
作者姓名:雷霖  代传龙  王厚军  赵旭
作者单位:电子科技大学自动化工程学院;
摘    要:提出一种粗糙集?神经网络集成的无线传感器网络(WSN)节点故障诊断新方法。根据无线传感器网络的应用环境和故障特征得到诊断决策表,利用改进的粗糙集中的归纳属性约简算法对诊断决策表进行属性约简,用Hamming网络建立一套故障分类的方法。仿真实验结果显示,该诊断算法在进行WSN节点故障诊断时,诊断准确性高,通信代价小,能耗低,鲁棒性高。

关 键 词:故障诊断  Hamming网络  粗糙集  无线传感器网络  

Fault Diagnosis of Node in WSN Based on Integration of Rough Sets and Neural Network
LEI Lin,DAI Chuan-long,WANG Hou-jun, ZHAO Xu.Fault Diagnosis of Node in WSN Based on Integration of Rough Sets and Neural Network[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2008(4).
Authors:LEI Lin  DAI Chuan-long  WANG Hou-jun    ZHAO Xu
Institution:LEI Lin,DAI Chuan-long,WANG Hou-jun,, ZHAO Xu (School of Automation Engineering,University of Electronic Science , Technology of China Chengdu 610054)
Abstract:In the paper, a novel fault diagnosis method integrating rough sets and neural network in wireless sensor network (WSN) is presented. Firstly, the decision-making table of fault diagnosis can be gained by application environment and fault characteristic in WSN. Secondly, the attribute reduction of the table of decision-making is implemented by inductive attribute reduction algorithm in rough sets theory. Finally, a set of method for fault classification is founded by hamming network. The result of simulatio...
Keywords:fault diagnosis  Hamming network  rough sets  wireless sensor network  
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