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

A multi-fault diagnosis method based on a correlation model

A technology of correlation model and diagnostic method, applied in special data processing applications, complex mathematical operations, instruments, etc., can solve problems such as easy to fall into local optimum, and achieve good engineering application value

Active Publication Date: 2019-02-12
NAVAL AVIATION UNIV
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is not limited to a single fault hypothesis, and can be used for multiple fault diagnosis, but this method only searches for the optimal solution, discards the suboptimal solution, and is easy to fall into local optimum

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
  • A multi-fault diagnosis method based on a correlation model
  • A multi-fault diagnosis method based on a correlation model
  • A multi-fault diagnosis method based on a correlation model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0036] A correlation model of a control system such as figure 2 As shown, the model has two branches based on the division of function and structure, f 2 and f 3 is a branch, f 4 as a branch. In the model, fault states are detected by corresponding tests along the direction of the arrows. as f 1 occurs, the test results of all tests are failed; f 4 occurs, then only the test t 4 The test result for Failed. The prior probability of each fault state is p(f 1 )=0.1, p(f 2 )=0.2, p(f 3 )=0.3, p(f 4 )=0.4; the test result of the system is t1 = 0, t 2 = 1, t 3 = 1, t 4 =1. The correlation model shows the interconnection relationship between each component of the control system and the correlation relationship between each component and each test, which provides a basis for testing and fault diagnosis.

[0037] Step 1: Perform correlation modeling on the system and obtain the correlation matrix of the system.

[0038] Dependency modeling for a control system such as ...

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 relates to a multi-fault diagnosis method based on a correlation model. The method comprises the four steps of modeling the system correlation, obtaining a fault-test correlation matrixand a reduced correlation matrix, generating a multi-fault correlation matrix, and carrying out the multi-fault diagnosis, and comprises the steps that firstly, the system is modeled by relativity andthe fault-test correlation matrix is obtained; then, the correlation matrix is reduced according to the system test results, secondly, the logical OR operation is performed on each fault feature vector in the reduced correlation matrix to obtain the multi-fault correlation matrix; and finally, fault diagnosis is carried out based on multi-fault correlation matrix. Based on the correlation model and the test result, the invention can carry out multi-fault diagnosis on the system.

Description

technical field [0001] The invention belongs to the technical field of testing and fault diagnosis, and relates to a multi-fault diagnosis method based on a correlation model. Background technique [0002] The fault diagnosis based on the correlation model is mainly divided into two ways: concurrent diagnosis and sequential diagnosis. Concurrent diagnosis is a traditional monitoring and diagnosis method, that is, to complete all the tests first and then diagnose. The whole process only needs one cycle of testing and diagnosis to realize. Correct diagnosis results, this diagnosis method is more suitable for the situation where the sensor information in the system under test is relatively rich. Sequential diagnosis is a test and diagnosis method with the core of the "test → diagnosis → retest" cycle process, which is suitable for systems in the stages of principle test and prototype development. [0003] The sequential diagnosis method is adopted in the optimal design of the...

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): G06F17/50G06F17/16
CPCG06F17/16G06F30/20Y04S10/52
Inventor 马羚吕晓峰叶文唐永川贺英政陆巍巍张振姚成柱
Owner NAVAL AVIATION UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com