Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fault prediction method, device and equipment and readable storage medium

A fault prediction and fault information technology, applied in the field of operation and maintenance, can solve problems such as inaccurate prediction results

Active Publication Date: 2020-12-08
FENGHUO COMM SCI & TECH CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a fault prediction method, device, equipment and readable storage medium, aiming to solve the technical problem of using one-sided information for fault prediction in the prior art, resulting in inaccurate prediction results

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fault prediction method, device and equipment and readable storage medium
  • Fault prediction method, device and equipment and readable storage medium
  • Fault prediction method, device and equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] In a first aspect, an embodiment of the present invention provides a fault prediction device, and the fault prediction device may be a device with a data processing function such as a personal computer (personal computer, PC), a notebook computer, or a server.

[0041] refer to figure 1 , figure 1 It is a schematic diagram of the hardware structure of the fault prediction device involved in the solution of the embodiment of the present invention. In the embodiment of the present invention, the fault prediction device may include a processor 1001 (such as a Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize the connection and communication between these components; the user inter...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a fault prediction method, device and equipment and a readable storage medium. The method comprises the steps: constructing a training set, wherein the training set comprises Ntraining samples, one group of training samples comprises a quantized value of system performance information, a quantized value of scene information, a quantized value of stack information, a quantized value of process information corresponding to the stack information and a quantized value of fault information, and N is a positive integer larger than 1; based on the training set, training a recurrent neural network model to obtain a fault prediction model; and predicting a system fault through the fault prediction model. According to the invention, the fault prediction accuracy can be significantly improved.

Description

technical field [0001] The present invention relates to the technical field of operation and maintenance, in particular to a fault prediction method, device, equipment and readable storage medium. Background technique [0002] As the complexity of the communication system continues to increase, the probability of its failure is also increasing, and once a failure occurs, it will cause huge losses. In order to avoid losses caused by system failures, the current common method is to use the failure prediction model trained by machine learning to predict the failure of the communication system, so as to eliminate hidden failures in time. [0003] However, at present, when training the fault prediction model, system performance indicators such as CPU occupancy rate and memory occupancy rate are generally used as sample data for training. That is, when using the trained fault prediction model to predict system faults, only CPU usage and memory usage are used as the basis for pred...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F11/34G06K9/62
CPCG06F11/3452G06F18/241G06F18/214
Inventor 文浩赵家志
Owner FENGHUO COMM SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products