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多纤复用环形国际海光缆故障影响统计算法
引用本文:罗静,颜敏,孙慰迟. 多纤复用环形国际海光缆故障影响统计算法[J]. 南昌水专学报, 2008, 27(6)
作者姓名:罗静  颜敏  孙慰迟
作者单位:上海电力学院,电力与自动化工程学院,上海,200090;复旦大学,计算机学院,上海200438;复旦大学,计算机学院,上海200438
摘    要:运用神经网络分类方法对海缆故障进行分类,在不需要了解海缆倒换机制和海光缆通信原理条件下,通过神经网络自身的学习机制自动形成所要求的决策区域,建立适当的数学模型,实现故障电路的统计.算法充分利用了神经网络在模式识别和故障诊断方面的优势,解决了海缆故障分类问题,尤其是复杂故障情况下的故障分类问题.神经网络概念的引入不仅解决了环形海缆系统在复杂故障情况下的故障统计问题,而且为神经网络解决通信领域中的其他难题带来了希望.

关 键 词:环形海底光缆  多纤复用  神经网络  模式识别  BP算法

Failure statistic algorithms for loop submarine cable system based on multi-fiber multiplex technology
LUO Jing,,YAN Min,SUN Wei-chi. Failure statistic algorithms for loop submarine cable system based on multi-fiber multiplex technology[J]. Journal of Nanchang College of Water Conservancy and Hydroelectric Power, 2008, 27(6)
Authors:LUO Jing    YAN Min  SUN Wei-chi
Affiliation:LUO Jing1,2,YAN Min2,SUN Wei-chi2(1.College of Electric Power , Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China,2.School of Computer Science,Fudan University,Shanghai 200438,China)
Abstract:This paper discusses two general failure statistic algorithms for loop submarine cable system based on multi-fiber multiplex technology.It introduces the failure statistics algorithm based on the principle of artificial neural network.The algorithm analyses the failure types of submarine cable system by the classification method of artificial neural network.It can implement failure statistics without any knowledge of submarine cable system and protection switch.The algorithm solves the problem of failure st...
Keywords:loop submarine cable system  multi-fiber multiplex  artificial neural network  pattern recognition  BP algorithm  
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