计算机科学 ›› 2018, Vol. 45 ›› Issue (5): 38-43.doi: 10.11896/j.issn.1002-137X.2018.05.006
薛善良,杨佩茹,周奚
XUE Shan-liang, YANG Pei-ru and ZHOU Xi
摘要: 在一些无线传感器网络(Wireless Sensor Network,WSN)安全监测系统中,节点长时间传输大量数据,导致无线数据收发单元容易出现功率下降和功率放大器(Power Amplifier,PA)被烧毁的现象,而此类故障的诊断方法一般比较复杂且低效。针对上述问题,在分析WSN单元级故障诊断的基础上,利用无线数据收发单元的电流模型,提出了一种基于模糊神经网络的无线数据收发单元故障诊断方法。首先,根据无线数据收发单元中发射消耗的电流与温度和供电电压的关系,建立电流模型;然后,利用聚类算法确定模糊神经网络模型结构,结合混合学习算法优化模糊规则的前件参数和后件参数;最后,提取训练完的模糊神经网络参数,以建立WSN节点故障诊断模型。实验结果表明,提出的无线数据收发单元故障诊断方法的计算量小,诊断准确度高;与高斯过程回归模型相比,其计算量降低了22.4%,诊断准确度提高了17.5%。
[1] YICK J,MUKHERJEE B,GHOSAL D.Wireless sensor net-work survey[J].Computer Networks,2008,52(12):2292-2330. [2] REN F Y,HUANG H N,LIN C.Wireless Sensor Networks[J].Journal of Software,2003,14(7):1282-1291.(in Chinese) 任丰原,黄海宁,林闯.无线传感器网络[J].软件学报,2003,14(7):1282-1291. [3] ASADA G,DONG M,LIN T S,et al.Wireless integrated network sensors(WINS) for tactical information systems[C]∥Proceedings of the 1998 European Solid State Circuits Confe-rence.New York:ACM Press,1998. [4] WU W P.Research on the application of wireless sensor network and Internet of things[J].Journal of Jilin Teachers Institute of Engineering and Technology,2016,32(4):86-88.(in Chinese) 吴文平.无线传感器网络与物联网的应用研究[J].吉林工程技术师范学院学报,2016,32(4):86-88. [5] AGRAWAL D P.Applications of Sensor Networks[M]∥Em-bedded Sensor Systems.Singapore:Springer,2017:406-426. [6] LIN L,XU D,WANG H.Fault diagnosis of WSNs node based on wavelet neural network[J].Compel International Journal for Computation and Mathematics in Electrical and Electronic Engineering,2010,29(2):563-570. [7] ZHAO J S,LI Y,QIU T.A sensor fault diagnosis method based on wavelet transform and neural network[J].Journal of Tsinghua University:Science and Technology,2013(2):205-209.(in Chinese) 赵劲松,李元,邱彤.一种基于小波变换与神经网络的传感器故障诊断方法[J].清华大学学报(自然科学版),2013(2):205-209. [8] ZHAN H W.Research on Ship Diesel Engine Fault Diagnosis System Based on Fuzzy Neural Network[D].Wuhan:Wuhan University of Technology,2009.(in Chinese) 占惠文.基于模糊神经网络的船舶柴油机故障诊断系统研究[D].武汉:武汉理工大学,2009. [9] CPALKA K.CaseStudy:Interpretability of Fuzzy Systems Applied to Nonlinear Modelling and Control[M]∥Design of Interpretable Fuzzy Systems.Berlin:Springer International Publi-shing,2017:131-162. [10] KOSKO B.Fuzzy engineering[M].London:Prentice-Hall,Inc.,1996. [11] ZHAO W,FAN F,WANG W.Non-linear partialleast squaresresponse surface method for structural reliability analysis[J].Reliability Engineering & System Safety,2017,1:69-77. [12] LI Z G.Network Traffic Prediction Model Based on Gaussian Process Regression[J].Journal of Computer Applications,2014,34(5):1251-1254.(in Chinese) 李振刚.基于高斯过程回归的网络流量预测模型[J].计算机应用,2014,34(5):1251-1254. |
No related articles found! |
|