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Fuzzy fault Petri net and network fault diagnosis method thereof

A network fault diagnosis method technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of slow resolution of network faults, affecting user experience, etc., and achieve a reasonable design effect

Inactive Publication Date: 2018-01-09
TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a fuzzy fault Petri net and its network fault diagnosis method, and solve the problem that the network fault resolution speed is slow and affects the user experience

Method used

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  • Fuzzy fault Petri net and network fault diagnosis method thereof
  • Fuzzy fault Petri net and network fault diagnosis method thereof
  • Fuzzy fault Petri net and network fault diagnosis method thereof

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Embodiment Construction

[0045] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0046] The design idea of ​​the present invention is: because the fuzzy Petri net has defects when performing reasoning to find the fault source, it will cause the propagation of the fault, causing the illusion that the source fault disappears, and the fault Petri net only qualitatively analyzes the fault propagation path, and it is difficult to find the fault Sources are neither supported by data nor comprehensive enough. Therefore, in order to improve the efficiency of fault diagnosis and find the fault propagation path conveniently and quickly, the present invention proposes a fuzzy fault Petri net (fuzzy fault Petrinet, FFPN) model on the theoretical basis of fuzzy Petri net and fault Petri net. This model proposes a length of The array H of 2, combined with the idea of ​​reverse reasoning, can quantitatively analyze the main factors of Etherne...

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Abstract

The invention relates to a fuzzy fault Petri net and a network fault diagnosis method thereof. The technical features are that the fuzzy fault Petri net includes an eleven-element set as follows: Sigma=(S, T, F, D, G, w, Eta, Theta, Gamma, M0, H); for the network fault diagnosis method, a fuzzy Petri net and a fault Petri net are combined to provide the fuzzy fault Petri net (FFPN), a network fault cause model based on the FFPN is established, by combining an algorithm based on the FFPN diagnosis idea, the validity of one factor causing the Ethernet to break down in the model is calculated, and the factor having the highest validity is defined to be the main factor which can cause the Ethernet to break down. The fuzzy fault Petri net is reasonable in design, the problem that the network fault processing speed is slow, and the user experience is affected is solved, the causal relationship between network fault factors can be well described, the main factor causing the Ethernet to breakdown is obtained by means of quantitative analysis, and a reference can be provided for research and exploration in the network fault field.

Description

technical field [0001] The invention belongs to the technical field of network fault diagnosis, in particular to a fuzzy fault Petri net and a network fault diagnosis method thereof. Background technique [0002] With the rapid development of computer network technology, people pay more and more attention to the application of the network, and the application of the network is becoming more and more abundant. The network has penetrated into thousands of households, and people's daily life is inseparable from it. People have gradually changed from using the network alone to relying on the network to solve various problems. However, with the expansion of the fields involved in the network, the network begins to produce characteristics such as intelligence, dynamics and heterogeneity, and the diagnosis of network faults becomes difficult. [0003] In order to use the network normally, the efficiency of network fault diagnosis is particularly important. An effective fault diagn...

Claims

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Application Information

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IPC IPC(8): H04L12/24
Inventor 李孝忠刘颖赵朋刘晓琴
Owner TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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