Bayes-method-based spaceflight valve part fault diagnosis method in machining process

A technology for parts processing and fault diagnosis, which is used in program control, instrumentation, computer control, etc.

Active Publication Date: 2015-01-07
SHANGHAI JIAO TONG UNIV
View PDF5 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problems existing in the above-mentioned prior art, the present invention provides a fault diagnosis method for aerospace valve parts machining process based on the Bayesian method, which overcomes the various causes of faults and failures in the manufacturing process of aerospace valves, which cannot be directly performed by listing methods. To deal with the shortcomings, a fault diagnosis method for aerospace valve parts machining based on control chart theory, FMEA and FTA analysis, and Bayesian method is proposed

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
  • Bayes-method-based spaceflight valve part fault diagnosis method in machining process
  • Bayes-method-based spaceflight valve part fault diagnosis method in machining process
  • Bayes-method-based spaceflight valve part fault diagnosis method in machining process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The technical scheme of the present invention will be further described below with reference to the accompanying drawings, taking the mean value control diagram of a certain type of bushing parts as an example.

[0053] like Figure 1 to Figure 7 Shown, the inventive method comprises the following steps:

[0054] The first step: Obtain the control chart of the machining process data of aerospace valve parts.

[0055] Through the quality monitoring of the key process (inner hole φ9mm) in the bushing process, the processing data of the key process is measured in time series, and they are drawn into four types of control charts. Here, the mean value control chart is taken as an example. like figure 2 shown.

[0056] The second step: pattern recognition of aerospace valve parts processing control diagram.

[0057] There are 6 abnormal modes of the control chart, which are: mean increasing or decreasing trend, data points beyond the control limit, mean value shifting up...

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 discloses a Bayes-method-based spaceflight valve part fault diagnosis method in the machining process and belongs to the technical field of expert systems and fault diagnosis. The method includes the steps that first, a data control chart in the spaceflight valve part machining process is drawn, and the abnormal modes of the control chart are recognized according to a certain judgment rule; then, a relational network between the fault causes and the fault results in the spaceflight valve part machining process is described through FMEA and FTA, and an expert system knowledge base is built; finally, the set of main fault causes is acquired through importance analysis and the Bayes' theorem, and the list of causes which are most likely to cause the abnormal modes of top events is calculated. Through the spaceflight valve expert system fault diagnosis method, quality monitoring and fault diagnosis can be performed in the spaceflight valve part machining process containing a large number of data sets, the defects in the aspect of data standardization in an existing method are avoided, and meanwhile an expert diagnosis system for the special objects of spaceflight valves is developed.

Description

Technical field: [0001] The invention relates to the technical field of aerospace valve parts processing, and more specifically relates to a fault diagnosis method for aerospace valve parts machining process based on Bayesian method. Background technique: [0002] With the rapid development of industry, the structure of modern equipment is becoming more and more complex, the scale of automation is increasing, and the coupling of each structure and each stage is getting closer. On the one hand, the subsequent increase in the level of system automation has brought considerable economic benefits to production, on the other hand, the factors affecting the operation of the system have increased sharply, leading to an increase in the potential for failure. Modern production has higher requirements for the availability, safety, reliability and maintainability of mechanical equipment, which has led to people's research on fault diagnosis technology. [0003] Aerospace valves are co...

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 杜世昌陈雨桐黄德林梁鑫光程辉
Owner SHANGHAI JIAO TONG UNIV
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