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

Numerical control machine tool fault diagnosis method

A technology for CNC machine tools and fault diagnosis, applied in the field of CNC machine tools

Inactive Publication Date: 2017-02-15
JILIN UNIV
View PDF4 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies in component fault diagnosis and the defects of a single diagnosis method caused by ignoring the failure time-related influence of system components in the prior art to establish a failure rate model, the present invention provides a dynamic numerical control machine tool fault diagnosis method based on graph theory and data drive, Using this method to diagnose the faults of the CNC machine tool system is more real-time and more realistic

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
  • Numerical control machine tool fault diagnosis method
  • Numerical control machine tool fault diagnosis method
  • Numerical control machine tool fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0121] CNC Machine Tool Fault Diagnosis

[0122] Fault analysis was performed on 106 fault data collected from a CNC machine tool site, and a total of 9 components were found to be faulty. The fault information of the 9 components of the CNC machine tool is shown in Table 1.

[0123] Table 1 System component codes and failure interval schedule

[0124]

[0125]

[0126] The system consists of 10 nodes to form a node set V, and the directed edge set E={e ij}(1≤i, j≤10), with the help of relevant experience in the structure and function of the system, combined with the fault diagnosis manual, the fault directed graph G(V,E) is obtained, see image 3 shown.

[0127] According to Table 1 and image 3 , to determine the adjacency matrix A of the direct relationship between the faults of the system components. According to the adjacency matrix A plus the identity matrix I, after the Boolean self-multiply operation, the reachable matrix M of the indirect fault relationships ...

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 belongs to the numerical control machine tool technology field and relates to a numerical control machine tool fault diagnosis method. The method comprises the following steps of 1, dividing a system part into n component; and establishing a corresponding relation of each component and fault time and a fault propagation relation among the components; 2, establishing a component fault propagation digraph and describing a numerical control machine tool system component fault propagation digraph; 3, calculating a numerical control machine tool system component fault influence; 4, converting the fault propagation digraph into a fault-propagation hierarchical model; 5, modeling based on a numerical control machine tool system component failure rate related to time; and 6, positioning a fault main cause and carrying out numerical control machine tool fault diagnosis. In the invention, a system component fault propagation hierarchy relation and the fault propagation influence are considered and a fault time correlation influence of the system component during component failure rate determination is also considered; component fault modeling accuracy is increased; compared to traditional system component fault incidence rate diagnosis based on a graph theory or single data driving, the method possesses real-time performance and accords with realities.

Description

technical field [0001] The invention belongs to the technical field of numerical control machine tools, and relates to a fault diagnosis method for numerical control machine tools, in particular to fault cause analysis, establishment of directed graphs of fault transmission, calculation of fault influence degree, construction of authorized fault propagation structure models, and system components based on time correlation Failure rate modeling, on this basis, analyze key failure sources and propagation paths, and locate the main cause of failure. Background technique [0002] CNC machine tools are complex systems integrating mechanical, electrical, hydraulic and other technologies. The complexity of the system structure causes its fault chains. Even a very small failure rate of a component will cause the scale effect of the complex system to make the system Therefore, how to diagnose the faults in the system and improve the reliability of the system has become an important i...

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): G05B19/406
CPCG05B19/406
Inventor 张英芝秦猛猛申桂香刘津彤赵宪卓杨斌
Owner JILIN 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