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作 者:向波[1] 张裔智[2] XIANG Boa;ZHANG Yizhi(Department of Public Foundation, Chongqing three gorges medical college, Chongqing 404022,China;Chongqing Three Gorges University, Computer networking center, Chongqing 404022, China)
机构地区:[1]重庆三峡医药高等专科学校公共基础部计算机教研室,重庆404022 [2]重庆三峡学院计算机网络中心,重庆404022
出 处:《激光杂志》2018年第6期168-172,共5页Laser Journal
基 金:重庆市高等教育教学改革研究项目(No.143190)
摘 要:为了提高对光栅光纤网络的故障诊断和故障数据的分类识别能力,需要对故障数据进行准确挖掘,提出一种基于模糊指向性聚类的光栅断点故障数据挖掘技术。首先对光纤光栅网络信道中传输数据进行自相关特征采样,对采样数据进行稀疏性融合处理。然后采用自适应匹配滤波方法对光栅断点故障数据进行去干扰处理,提取光栅断点数据的能量密度谱特征,采用模糊指向性聚类方法进行故障数据的模糊聚类处理,实现光栅断点故障数据准确挖掘。最后进行实际光栅光纤网络断点数据挖掘仿真实验,结果表明,采用该方法进行光栅断点故障数据挖掘的准确性较高,对光纤光栅网络的故障诊断分析能力较强。In order to improve the recognition ability of fault diagnosis and fault data of grating optical tiber network, the need for accurate fault data mining, presents a data mining fault grating direetivity clustering based on Fuzzy breakpoint technology. Firstly the transmission data of fiber grating network channel sampling autoeorrelation characteristics of sampled data sparsity fusion. Then the adaptive anti-jamming processing of the grating breakpoint fault data matched filtering method, extracting grating breakpoint data the energy density spectrum characteristics, using fuzzy clustering method to fuzzy clustering processing of fault data, realize the breakpoint fault data mining. Finally, the actual accuracy of grating grating and optical fiber network breakpoint data mining simulation experiment results. Show that, using the method of grating breakpoint fault data mining with high accuracy, the optical fiber light Fault diagnosis grid network analysis ability.
分 类 号:TN911[电子电信—通信与信息系统]
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