基于粗糙集理论的光纤传感网络故障诊断系统
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摘要
鉴于光纤传感网络作业环境复杂,更易出现网络故障,提出一种基于粗糙集理论的光纤传感网络故障诊断系统。依据粗糙集知识表达模型和边界控制理论,设计了网络故障诊断模型的模块构成;给出光纤传感网络故障诊断的基本思想,利用粗糙集相关理论完成对光纤传感网络故障集的属性约简,去除冗余干扰数据,并识别出故障点的特征向量子集,提高光纤传感网络故障诊断的效率和准确度。选定节点故障误判率和多故障属性集条件下的检测精度作为系统评判指标,验证提出设计的故障诊断效果,结果表明文中系统在指标评价数值上优于传统设计。
In view of the complexity of the optical fiber sensing network and the easier failure of the network,a fault diagnosis system for optical fiber sensing network based on rough set theory is proposed. Based on the rough set knowledge expression model and the boundary control theory,the module of the network fault diagnosis model is designed. The basic idea of the fault diagnosis of the optical fiber sensor network is given. The attribute reduction of the fault set of the optical fiber sensor network is completed by the rough set correlation theory,the redundant interference data is removed and the fault point is identified. The proposed quantum set can improve the efficiency and accuracy of fault diagnosis in optical fiber sensor networks. The error rate of selected nodes and the detection precision under the condition of multi fault attribute set are used as the evaluation index of the system,and the results of the proposed fault diagnosis are verified. The results show that the system is superior to the traditional design in the evaluation value of the system.
In view of the complexity of the optical fiber sensing network and the easier failure of the network,a fault diagnosis system for optical fiber sensing network based on rough set theory is proposed. Based on the rough set knowledge expression model and the boundary control theory,the module of the network fault diagnosis model is designed. The basic idea of the fault diagnosis of the optical fiber sensor network is given. The attribute reduction of the fault set of the optical fiber sensor network is completed by the rough set correlation theory,the redundant interference data is removed and the fault point is identified. The proposed quantum set can improve the efficiency and accuracy of fault diagnosis in optical fiber sensor networks. The error rate of selected nodes and the detection precision under the condition of multi fault attribute set are used as the evaluation index of the system,and the results of the proposed fault diagnosis are verified. The results show that the system is superior to the traditional design in the evaluation value of the system.
引文
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[13]刘鹏,王天枢,张鹏,等.基于非线性偏振旋转效应的多波长掺铥锁模光纤激光器[J].光子学报,2016,45(6):12-16.
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[2]汪洋,李捍平,林晓波,等.基于分布式光纤振动传感的海底电缆绝缘击穿故障检测[J].电线电缆,2018(1):31-34.
[3]周路遥,刘黎,蒋愉宽,等.光纤分布式传感技术在海底电缆状态监测中的应用[J].浙江电力,2018,(2):25-30.
[4] ZHAO Y,LI X G,ZHOU X,et al. Review on the graphene based optical fiber chemical and biological sensors[J]. Sensors&Actuators B Chemical,2016,231:324-340.
[5]汪洋,周波达,林晓波,等.基于分布式光纤振动传感的海缆锚害故障检测[J].光通信研究,2018,(2):101-103.
[6]李响,李彦,刘革明.光纤纵联保护通道故障在线诊断方法[J].电力系统保护与控制,2016,44(2):147-150.
[7] GOWRI A,SAI V V R. Development of LSPR based Ubent plastic optical fiber sensors[J]. Sensors&Actuators B Chemical,2016,230:536-543.
[8]崔秀国,刘翔,操时宜,等.光纤通信系统技术的发展、挑战与机遇[J].电信科学,2016,32(5):34-43.
[9]李红,祝连庆,闫光,等.基于改性型UDP和CIGI的光纤光栅高速解调技术研究[J].仪器仪表学报,2016,37(1):129-135.
[10]宋璇坤,闫培丽,肖智宏,等.全光纤电流互感器技术应用评述[J].电力系统保护与控制,2016,44(8):149-154.
[11] LIGA G,ALVARADO A,AGRELL E,et al. Information Rates of Next-Generation Long-Haul Optical Fiber Systems Using Coded Modulation[J]. Journal of Lightwave Technology,2017,35(1):113-123.
[12]梁生,刘腾飞,盛新志,等.基于空间域差分的φ-OTDR光纤分布式扰动传感器定位方法研究[J].红外与激光工程,2016,45(6):253-257.
[13]刘鹏,王天枢,张鹏,等.基于非线性偏振旋转效应的多波长掺铥锁模光纤激光器[J].光子学报,2016,45(6):12-16.
[14]姜晋霄.光纤通信技术发展的现状及前景分析[J].无线互联科技,2016,(18):7-8.
[15]陈露,朱佳利,李泽焱,等.波纹膜片式光纤法布里-珀罗压力传感器[J].光学学报,2016,(3):46-50.