Fault diagnosis method and system based on case library

A fault diagnosis and fault technology, applied in general control systems, control/regulation systems, testing/monitoring control systems, etc., can solve the problems of cumbersome maintenance process and low operating efficiency

Inactive Publication Date: 2020-09-04
STATE GRID SHANDONG ELECTRIC POWER +1
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the object of the present invention is to provide a fault diagnosis method and system based on case base, so as to alleviate the technical problems of cumbersome equipment maintenance and low work efficiency existing in the prior art

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 diagnosis method and system based on case library
  • Fault diagnosis method and system based on case library
  • Fault diagnosis method and system based on case library

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] figure 1 It is a flow chart of a fault diagnosis method based on a case base provided according to an embodiment of the present invention. Such as figure 1 As shown, the method specifically includes the following steps:

[0023] Step S102, obtaining the failure case sample library; the failure case sample library includes equipment failure types and related factors corresponding to each equipment failure type; related factors include at least one of the following: attributes of equipment, equipment operating status, external conditions of equipment operation environment.

[0024] Optionally, the attribute of the device may be the manufacturer, model, etc., the operating status of the device may be online rate, success rate, etc., and the external environment of the device operation may be temperature, climate, etc.

[0025] Step S104, using the method of machine learning to determine the correlation degree between each relevant factor in the fault case sample databas...

Embodiment 2

[0041] image 3 It is a schematic diagram of a fault diagnosis system based on a case base provided to you according to an embodiment of the present invention. Such as image 3 As shown, the system includes: a sample module 10 , a learning module 20 , an establishment module 30 and a diagnosis module 40 .

[0042] Specifically, the sample module 10 is used to obtain a failure case sample library; the failure case sample library includes equipment failure types and related factors corresponding to each equipment failure type; related factors include at least one of the following: attributes of equipment, equipment operation State, the external environment in which the device operates.

[0043] The learning module 20 is configured to use a machine learning method to determine the correlation degree between each relevant factor in the failure case sample database and each equipment failure type, and obtain a directed graph of the target correlation degree.

[0044] The establi...

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 diagnosis method and system based on a case library. The method comprises the steps: acquiring a fault case sample library; determining a correlation degree between eachrelated factor in the fault case sample library and each equipment fault type by utilizing a machine learning method to obtain a target correlation degree directed graph; based on the target association degree directed graph, establishing a Bayesian prediction model of the equipment fault; and performing fault diagnosis operation on the to-be-diagnosed equipment by utilizing the Bayesian prediction model to obtain a fault diagnosis result, the fault diagnosis result comprising any one of the following items: the to-be-diagnosed equipment has a fault and the to-be-diagnosed equipment does nothave a fault. The technical problems that in the prior art, the equipment overhauling process is tedious, and the operation efficiency is not high are solved.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to a fault diagnosis method and system based on a case library. Background technique [0002] At present, during the inspection process of power grid operation and maintenance, on-site personnel cannot directly understand some equipment information, and need to return to the archives to inquire or ask other personnel, which reduces work efficiency. At the same time, for complex equipment maintenance, there is a situation where the inspection personnel operate while looking at the equipment maintenance steps, and there is a lot of compulsion and blindness in simply following the process of equipment maintenance. This kind of operation method is cumbersome and inconvenient, and the operation efficiency not tall. The specific manifestations are: the pertinence is not strong during the maintenance process, the actual status of the equipment is not well known, and the key points...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0262G05B2219/24065G06N20/00
Inventor 唐杰刘恒杰刘志永段义勇王凤东徐晓寅任淑娥苑超
Owner STATE GRID SHANDONG ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap