Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Common-cause failure reliability judging system and method based on data drive

A data-driven and reliable technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve accurate analysis and easy processing

Active Publication Date: 2014-03-19
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem of the present invention is to overcome the deficiencies of the existing technology, a reliability judgment system and method based on data-driven common cause failure, which can better handle the non-uniform common cause failure of large and complex systems, and obtain more accurate reliability and safety

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
  • Common-cause failure reliability judging system and method based on data drive
  • Common-cause failure reliability judging system and method based on data drive
  • Common-cause failure reliability judging system and method based on data drive

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] to be right Image 6 The "common cause structure decomposition method" of the present invention is used for analysis.

[0047] The common cause failure analyzer obtains the common cause failure component combination according to the common cause failure data of the actual system of the nuclear power plant, for example: the system should have 4 common cause groups: [1I, 2I], [1G, 2G], [1H , 2H], [1I, 1G, 1H]. then build Figure 7-2 fault tree model. Then use the fault tree analyzer to analyze it, and get the reliability analysis result of the given system; this result can reflect the common cause failure characteristics of the given system.

[0048] Figure 7-2 In , the circle represents the basic event, the character "1I (2I)" in the circle represents the common cause failure event that "1I" and "2I" occur simultaneously, and the meanings of other characters are similar.

[0049] For comparison, Figure 7-1 According to the traditional reliability analysis method,...

Embodiment 2

[0051] to be right Figure 8 The "common cause structure decomposition method" of the present invention is used for analysis.

[0052] The common cause failure analyzer obtains the common cause failure component combination based on the common cause failure data of the actual system of the nuclear power plant, for example: the system should have 2 common cause groups: [B1, B2, B3], [B3, B4]. then build Figure 9-2 fault tree model. Then use the fault tree analyzer to analyze it, and get the reliability analysis result of the given system; this result can reflect the common cause failure characteristics of the given system.

[0053] Figure 9-2 In , the circle represents the basic event, and the character "B123" in the circle represents the common cause failure event of "B1", "B2" and "B3" occurring simultaneously, and the meanings of other characters are similar.

[0054] For comparison, Figure 9-1 According to the traditional reliability analysis method, when the common...

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

A common-cause failure reliability judging system and method based on data drive can perform common-cause failure reliability analysis on a large complex system. The system comprises four modules of a data collector, a common-cause failure analyzer, a failure tree model analyzer and a failure tree analyzer, wherein the data collector acquires common-cause failure data and given system information and provides the common-cause failure data and the given system information for other modules; the common-cause failure analyzer determines elementary event grouping according to common-cause failure data and performs common-cause failure analysis on the elementary event groupings; the failure tree model analyzer modifies a failure tree model of a given system according to the elementary event grouping result; and the failure tree analyzer analyzes a given failure tree model. According to the common-cause failure reliability judging system and method, any types of asymmetrical common-cause failure can be analyzed, and reliability of the large complex system can be more accurately analyzed and monitored.

Description

technical field [0001] The invention relates to a reliability judgment system and method based on data-driven common cause failure, and belongs to the field of reliability analysis and probability safety analysis. Background technique [0002] In the reliability analysis (Reliability Analysis) and probabilistic safety analysis (Probabilistic Safety Analysis, PSA) of large complex systems (such as nuclear power plant systems, military equipment systems or marine aviation systems), due to the existence of redundant systems, common cause failures (Common-Cause Failures, CCF) is inevitable, and often leads to a significant increase in the failure rate of the entire system, its importance is beyond doubt. Common cause failure is a type of dependent failure. It is generally believed that it represents the simultaneous failure of multiple system components due to one or more common reasons, or the failure of multiple components within a short period of time that cannot be alleviate...

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): G06F17/30
CPCG06Q10/0639
Inventor 陈珊琦汪进胡丽琴李亚洲吴宜灿
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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
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