Information system fault diagnosis method and device based on convolutional neural network

Abstract

The invention discloses an information system fault diagnosis method based on a convolutional neural network. The method comprises the steps that operation monitoring data is acquired; the operation monitoring data is utilized to create an operation monitoring data matrix; the operation monitoring data matrix is input into a fault diagnosis model to obtain a diagnosis result, wherein the fault diagnosis model is obtained by utilizing a historical operation monitoring data matrix and an operating state label to train the convolutional neural network. Obviously, the convolutional neural network is utilized to create the fault diagnosis model, fault diagnosis is performed on the operation monitoring data, the diagnosis result is obtained, and therefore a user can maintain an information system through the diagnosis result; by use of the convolutional neural network, feature extraction capability and classification capability are improved, diagnosis accuracy is improved, and support is provided for secure operation of the information system. Besides, the invention accordingly discloses an information system fault diagnosis device based on the convolutional neural network.

Description

technical field [0001] The invention relates to the field of information system operation and maintenance, in particular to a method and device for fault diagnosis of an information system based on a convolutional neural network. Background technique [0002] With the development and application of cloud computing and big data, information services are ubiquitous and have been fully integrated into people's production and life. Therefore, information systems are required to provide various services reliably. A large amount of data is accumulated during the operation of the information system, which can well reflect the operation status of the information system and provide an important basis for intelligent diagnosis of faults. [0003] Intelligent fault diagnosis is a traditional research field, which has certain research and practice in all walks of life. In the aspect of information system fault diagnosis, research and exploration in this area have also been carried out....

AI Technical Summary

Problems solved by technology

However, these methods have problems such as low prediction accuracy and the need to manually select features, resulting in strong subjectivity.

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