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Reliability Analysis Method of Radar Lifting System Based on Fuzzy Dynamic Bayesian Network

A technology of dynamic Bayesian and analytical methods, applied in the field of complex radar lift system modeling, can solve problems such as impossible to obtain accurate information, insufficient data, and no ability to deal with ambiguous information.

Active Publication Date: 2021-10-22
XIDIAN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Difficult if not impossible to obtain precise information due to insufficient or incomplete data
In these cases, experts can only provide a range of possible values ​​or a fuzzy number
However, the dynamic Bayesian network does not have the ability to deal with fuzzy information.

Method used

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  • Reliability Analysis Method of Radar Lifting System Based on Fuzzy Dynamic Bayesian Network
  • Reliability Analysis Method of Radar Lifting System Based on Fuzzy Dynamic Bayesian Network
  • Reliability Analysis Method of Radar Lifting System Based on Fuzzy Dynamic Bayesian Network

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Embodiment Construction

[0040] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0041] as attached figure 1 As shown, the fuzzy reliability analysis method flow of the radar lifting system based on the fuzzy dynamic Bayesian network of the present invention includes the following steps:

[0042] S1, based on the structural analysis and design method, the function analysis of the radar lifting system is carried out, and the SADT diagram is obtained; based on the failure mode and effect analysis method FMEA, the possible failure mode of the system is evaluated; the radar lifting system is expressed through the SADT diagram The result of function analysis is combined with the failure mode and failure cause analysis based on FMEA to construct the DBN model of the system.

[0043] The specific steps of the qualitative modeling of the radar lift system are as follows:

[0044] 1a) Analyze the influence relationship between ...

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Abstract

The invention discloses a reliability analysis method of a radar lifting system based on a fuzzy dynamic Bayesian network, comprising: obtaining a SADT diagram based on a structural analysis and design method; The possible failure modes of the system; build the DBN model of the system; according to the obtained DBN model of the radar lifting system, introduce the fuzzy set theory; and combine the conditional probability table and the state transition matrix to complete the model construction of the system's fuzzy DBN; On the basis of the constructed fuzzy DBN model, based on Bayesian reasoning, using MATLAB software for simulation, the results of reliability analysis of the radar lifting system can be obtained. The invention can carry out reliability research on large-scale aircraft equipment, complex structure and multi-failure mode products; and can obtain accurate reliability evaluation from engineering fuzzy information.

Description

technical field [0001] The invention belongs to the technical field of reliability analysis, in particular to a modeling method for a complex radar lifting system which combines dynamic Bayesian network and fuzzy set theory and can process uncertainty and dynamic information. Background technique [0002] With the rapid development of modern science and technology, all kinds of scientific research equipment are constantly being introduced, and their system structures are becoming more and more complex. The traditional reliability design and analysis methods have been difficult to meet people's description of the performance status and failure rules of such complex systems. Require. The state of such a complex system does not satisfy the "two-state assumption". During the entire process from normal operation to failure shutdown, it often goes through several intermediate states. The residence rules of these intermediate states are not the same, and the transition rules are co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F119/02
CPCG05B23/0278
Inventor 马娟黄瀚姜浩高静丽杨翼蒙
Owner XIDIAN UNIV
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