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FTF-based complex product quality loss network analysis method

A technology of network analysis and complex products, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of unscientists on the network research of fault quality loss and failure to quantitatively analyze fault loss, etc., and achieve great guiding significance Effect

Inactive Publication Date: 2014-11-05
方志耕
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  • Claims
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AI Technical Summary

Problems solved by technology

[0007] 1), FMECA mainly analyzes single faults during fault analysis, and has limitations in reflecting the impact of environmental conditions on the reliability of complex products
[0008] 2), the traditional FMECA hazard analysis is to analyze the comprehensive impact of the severity of each failure mode and the probability of occurrence of the failure mode, and divide the levels, and does not quantitatively analyze how to allocate the failure loss.
[0009] 3) So far, no scholars have conducted research on faulty quality loss networks

Method used

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  • FTF-based complex product quality loss network analysis method
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Embodiment Construction

[0018] figure 1 Shown, relate to a kind of complex product quality loss network analysis method based on FTF of the present invention, comprise the steps:

[0019] 1) With the help of the forward FMECA-FTA method, using the severity level in the product FMECA results, select one or several failure modes corresponding to the severity level as the top event of the fault tree, and establish the fault tree distribution diagram of the system , and then use the bottom event failure rate data and failure loss data obtained from the hazard analysis results in FEMCA to conduct qualitative and quantitative analysis;

[0020] 2), using the fault tree distribution diagram established above, analyze different network structures;

[0021] 3) Using the principle of minimum cut set, draw a corresponding fault tree containing virtual top events, and calculate the loss based on the perspective of fault mode;

[0022] 4) Construct the conversion rules between FTA and GERT, and convert the mult...

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Abstract

The invention discloses a FTF-based complex product quality loss network analysis method, which comprises the following steps: selecting one or a plurality of fault modes corresponding to severity grades as the top events of a fault tree by utilizing the severity grades in a product FMECA (Failure Mode Effects and Criticality Analysis) result by virtue of a forward FMECA-FTA (Fault Tree Analysis) method, establishing the fault tree diagram of a system, and carrying out qualitative and quantitative analysis by utilizing bottom event fault rate data and fault loss data obtained by a perniciousness analysis result in the FEMCA; then, analyzing different network structures by utilizing an established fault distribution diagram; drawing an equivalent fault tree containing virtual top events by utilizing a minimum cutset principle, and carrying out loss measurement on the basis of a fault mode visual angle; constructing a conversion rule of FTA and GERT (Graphical Evaluation and Review Technique), converting a multi-FTA network into a GERT network to carry out the steady-state analysis and the significance and sensitivity analysis of the network loss so as to obtain a key node of a loss network.

Description

technical field [0001] The invention relates to a complex product quality loss network analysis method based on FTF. Background technique [0002] FMECA is the abbreviation of Failure Modes, Effect and Criticality Analysis in English, which consists of two parts: Failure Modes and Effects Analysis (FMEA) and Criticality Analysis (CA). FMECA is a method that analyzes each possible failure mode in the target system and its impact on the system and the upper system, and classifies it according to the severity of the impact of each failure mode, the probability of occurrence and the degree of failure hazard. It is one of the most commonly used reliability analysis methods in engineering applications. The basic principle is: according to the technical quality documents, historical data and customer requirements, analyze the structure, maintenance and use environment of the system, identify the failure mode, analyze the cause of the failure, and use certain statistical methods to...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 方志耕朱杏子刘思峰陶良彦
Owner 方志耕
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