Network fault prediction method, terminal equipment and storage medium

Abstract

The invention provides a network fault prediction method which comprises the following steps: S1, preprocessing network fault data, wherein the network fault data comprises fault types and fault occurrence time and is converted into time sequence data, and each time sequence represents all fault types occurring in the current time period; and S2, constructing a neural network model based on gated multi-head attention, wherein the neural network model comprises an embedded layer, an attention memory network layer, a multi-head attention layer and a gated fusion layer, inputting the time sequence data into the neural network model based on gated multi-head attention, and predicting faults in the network fault data by the neural network model based on gated multi-head attention. The invention aims to solve the problem that a traditional prediction method cannot predict the influence of different network faults on other faults due to the complexity and randomness of the faults, so that the faults cannot be predicted, thereby providing a technical scheme for accurately predicting the network faults.

Description

technical field [0001] The invention belongs to the technical field of network information, and in particular relates to a network fault prediction method, terminal equipment and a storage medium. Background technique [0002] With the advent of the information age, the accelerated increase in the penetration rate of electronic equipment has led to frequent occurrence of network failures. Therefore, the continuous occurrence of network failures is a widespread concern of major operators. These network failures include service interruptions, low network speeds, and network failures. Noise, however, the complexity and randomness of network faults make it difficult to use traditional methods to effectively predict network faults. [0003] Network fault management is an important technology to maintain the stability of network operation, and network fault prediction is a key link to improve the timeliness and accuracy of network fault management. Most network failures come from...

AI Technical Summary

Problems solved by technology

[0007] A network fault prediction method, which aims to solve the problem that the traditional prediction method cannot predict the fault due to the complexity of the network fault and the randomness of the network fault itself, based on the impact of different network faults on other faults. It can prejudge the type of early warning that the network is about to fail, and finally provide a technical solution that can accurately predict network failures

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