Optical fiber state evaluating method based on combination of improved membership function and neural network

A membership function and neural network technology, applied in the field of optical fiber line status evaluation and analysis, can solve the problems of unable to find potential faults of optical fiber lines, unable to evaluate and analyze the status of optical fiber lines, etc., to achieve good fitting accuracy and meet the requirements of reliability , the effect of fast convergence speed

Active Publication Date: 2018-05-15
CHANGCHUN UNIV OF SCI & TECH
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Problems solved by technology

[0004] The present invention provides an optical fiber state evaluation method based on an improved membership function combined with a neural network in order to solve the proble

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  • Optical fiber state evaluating method based on combination of improved membership function and neural network
  • Optical fiber state evaluating method based on combination of improved membership function and neural network
  • Optical fiber state evaluating method based on combination of improved membership function and neural network

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specific Embodiment approach 1

[0021] Specific implementation mode 1. Combination Figure 1 to Figure 3 Illustrate this embodiment, based on the improved membership function combined with the neural network optical fiber state evaluation method, the method is implemented by the following steps:

[0022] Step 1. Data preprocessing:

[0023] Since the optical fiber vibration parameters and temperature parameters are time series data collected at every certain time interval, when the optical fiber vibration amplitude and temperature change sharply, the impact on the status of the optical fiber line is obvious, so all the extreme values ​​​​of the vibration parameters S and temperature parameters T are selected. As the original sample of factors affecting the fiber state, respectively, S=(S 1 ,S 2 ,...,S m ), T=(T 1 , T 2 ,...,T m ); by better observing its change characteristics, the extreme value sequence is first-order difference: S(m)=S(m+1)-S(m), T(m)=T(m+1)-T(m ), where m is the ordinal number of t...

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Abstract

The invention discloses an optical fiber state evaluating method based on the combination of an improved membership function and a neural network, and relates to the technical field of optical fiber circuit state evaluating and analyzing. The problems that potential failures in a circuit state can not be analyzed and evaluated in the prior art and failures going to happen can not be avoided are solved. By means of the evaluating and analyzing method, the membership weight of an attached optical fiber state membership comprehensive evaluating method is optimized and combined through an improvedEuclidean distance formula, the circuit state healthy degree is accurately evaluated and analyzed, whether potential failures exist in a circuit or not is analyzed, a maintenance strategy is formulated in advance, and the requirement for optical fiber communication ceaseless transmission is met. By means of an RBF neural network evaluating and analyzing model, evaluating performance has good fitting precision and convergence speed, and the evaluating of the optical fiber state is better achieved.

Description

technical field [0001] The invention relates to the technical field of optical fiber line state evaluation and analysis, in particular to an optical fiber state evaluation method based on an improved membership function combined with a neural network. Background technique [0002] Due to the advantages of large capacity, low loss, and high speed, optical fiber has now become the main medium for communication transmission. In the power system, the optical fiber support network has the characteristics of high coverage, dense network, frequent faults, and large fault impact. (Such as: icing, man-made damage, etc.) can easily lead to potential failures such as aging of optical fiber lines, so the reliability of the operation of the power optical fiber transmission network will be an important guarantee for the safe production and efficient operation of the power system. Once the line fails, the communication caused Disruption will bring huge economic losses to enterprises and us...

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Application Information

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IPC IPC(8): G06F17/50G06N3/08
CPCG06N3/084G06F30/20
Inventor 陈晓娟宫玉琳吴洁曲畅徐梦
Owner CHANGCHUN UNIV OF SCI & TECH
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