Efficient complex system reliability evaluation method based on reliability block diagram

A technology of reliability and block diagram, applied in the field of system reliability evaluation

Pending Publication Date: 2022-07-01
BEIHANG UNIV
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Problems solved by technology

The purpose and the problem to be solved are: to improve the modeling ability and calculation efficiency of the reliability block diagram model of large-scale complex systems

Method used

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  • Efficient complex system reliability evaluation method based on reliability block diagram
  • Efficient complex system reliability evaluation method based on reliability block diagram
  • Efficient complex system reliability evaluation method based on reliability block diagram

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Embodiment Construction

[0051] Description of the implementation: Provides a method for efficiently solving a reliability block diagram model based on a structure identification method and a Bayesian network. The complete process of the method is as follows: Figure 5 As shown, the specific implementation is described as follows:

[0052] The first part: Reliability block diagram model structure identification.

[0053] The reliability block diagram model of the complex system after modeling is shown in 6, in which the reliability of the unit is 0.9. Among them, node X3 is represented as a joint model, and the weight is shown by the value on the connection line. Node X4 is represented as a model of 2 out of 3. The construction process includes the following:

[0054] Step 1: Initialize the current position node P as X5, and initialize the empty list list={}.

[0055] Step 2: P is X5, its precursor node is X4, go to step 4;

[0056] Step 4: If the precursor node of P is only X4, go to Step 6;

[0...

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Abstract

The invention provides a method for efficiently solving a reliability block diagram model based on a structure identification method and a Bayesian network. The method aims at improving the modeling capability and the calculation efficiency of the reliability block diagram model of the large-scale complex system. The method comprises the steps that basic structures in a reliability block diagram model are recognized firstly, the structures comprise series connection, parallel connection, voting and sum connection, the basic structures serve as modules, the recognition process is repeated, and finally the reliability block diagram model with a hierarchical structure is formed; secondly, traversing the hierarchical reliability block diagram model from top to bottom until the modules at the bottommost layer are converted into corresponding Bayesian networks according to structure types, and performing upward backtracking and layer-by-layer conversion to form a hierarchical Bayesian network model; and finally, the probability distribution of all nodes in the Bayesian network is obtained by using a Bayesian reasoning algorithm, the probability distribution of leaf nodes of the Bayesian network is the failure probability distribution of the system, and the probability distribution of intermediate nodes is the failure probability distribution of different modules.

Description

[0001] Technical field [0002] The invention provides an efficient solution method for the reliability block diagram of a large-scale complex system. It is suitable for reliability assessment of complex systems. The invention belongs to the technical field of system reliability evaluation. Background technique [0003] Reliability block diagram model is a commonly used model in system reliability modeling, which is widely used in aviation, aerospace, ship and other fields. The structure of the reliability block diagram model consists of series, parallel, voting, and combination. In addition, the original reliability block diagram model is extended in GJB813-1900, and a model representing the task reliability of the multifunctional system is proposed. The reliability block diagram model represents the logical relationship between the system and the components, so after the reliability of the components is obtained, the reliability of the system can be calculated according t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N5/04G06N7/00G06F119/02
CPCG06F30/27G06N5/04G06F2119/02G06N7/01
Inventor 李志峰任羿杨德真王自力冯强孙博
Owner BEIHANG UNIV
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