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A method for analyzing the relationship between the cause of performance failure and characteristic parameters of a communication network

A communication network and characteristic parameter technology, applied in the direction of digital transmission system, data exchange network, transmission system, etc., can solve problems such as communication network performance failures, and achieve the effect of improving accuracy and improving accuracy

Inactive Publication Date: 2018-12-25
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0004] The present invention is to solve the analysis problem of the cause of communication network performance failure

Method used

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  • A method for analyzing the relationship between the cause of performance failure and characteristic parameters of a communication network
  • A method for analyzing the relationship between the cause of performance failure and characteristic parameters of a communication network
  • A method for analyzing the relationship between the cause of performance failure and characteristic parameters of a communication network

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Embodiment 1

[0030] In order to further verify the efficiency and effectiveness of the model, the simulated fault data is selected as the experimental data, the memory is 4GB, the processor is Interl(R)Core(TM)i5-2430M CPU@2.40GHz 2.40GHz, and the operating box is 64-bit The ELM model and the integrated ELM model of the present invention are realized by Python2.7+Anaconda6.0 programming on the computer of Window10.

[0031] S1: Obtain characteristic parameter data of performance faults of the communication network to be analyzed.

[0032] In order to obtain the characteristic parameter data of the performance failure of the communication network to be analyzed, here we use OPNET to simulate and collect the simulation data of the characteristic parameters of the relevant performance failure. The characteristic parameters include packet loss rate, delay, and bit error rate. The simulation data It is packaged as a four-dimensional variable (LABEL, TD, PLR, BER), where LABEL is the label, and ...

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Abstract

The invention discloses a communication network performance fault cause and characteristic parameter correlation analysis method, and relates to the technical field of communication network fault diagnosis. The method obtains the characteristic parameter data of the communication network performance fault to be analyzed, adopts a communication network performance fault analysis model of a transfinite learning machine established in advance, and processes the characteristic parameter of the communication network performance fault to be analyzed, thereby analyzing the communication network performance fault types corresponding to the characteristic parameter. The invention realizes the effective and accurate analysis of the communication network performance fault types, and enhances the generalization ability of the traditional transfinite learning machine model and improves the model precision by selecting two different activation functions, the sigmoid activation function and the Gaussian radial basis function.

Description

technical field [0001] The invention belongs to the technical field of communication network fault diagnosis, and relates to a communication network performance failure cause and characteristic parameter correlation analysis method, in particular to an improved ELM-based communication network performance failure cause and characteristic parameter correlation analysis method. Background technique [0002] There are many factors affecting communication network failures, and the multi-factors are complexly coupled and dynamically time-varying. When analyzing the relationship between the cause of the failure and the characteristic parameters, it is necessary to consider the configuration and coupling of the entire network system, and there is a complex relationship between the failures: a Faults often trigger multiple other faults, which are dynamically dependent and continuously correlated triggering. In engineering, in the face of multiple faults occurring at the same time, wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/06H04L41/142
Inventor 黄宁范浩温国谊郑小禄
Owner BEIHANG UNIV
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