A time-varying reliability assessment method for mechanical systems based on dynamic Bayesian networks

A dynamic Bayesian and Bayesian network technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as complex structure, inability to solve reliability prediction and design problems, etc. Effect

Inactive Publication Date: 2018-01-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] The problem to be solved by the present invention is that since the complex mechanical system has the characteristics of "time-varying", "multiple failure modes", and "complex structure", the reliability evaluation of the mechanical system involves the mutual coupling correlation of various failure modes and the dynamic For problems related to random process coupling, traditional structural reliability analysis methods have relatively large limitations in evaluating the time-varying reliability of complex mechanical systems, and cannot solve the problem of characterizing the coupling between various failure modes and reliability prediction based on this and design issues

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  • A time-varying reliability assessment method for mechanical systems based on dynamic Bayesian networks
  • A time-varying reliability assessment method for mechanical systems based on dynamic Bayesian networks
  • A time-varying reliability assessment method for mechanical systems based on dynamic Bayesian networks

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Embodiment Construction

[0047] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0048] Such as figure 1 The invention shown includes the following stages:

[0049] Phase 1. Determine the basic indicators of the model;

[0050] Phase 2: Build a Bayesian network structure;

[0051] Stage 3. Calculate the time-varying failure probability according to the Bayesian network structure;

[0052] Phase one includes the following steps:

[0053] Step 1. Establish a physical model of the mechanical system according to the structural characteristics of the mechanical system; in this embodiment, the physical model of the gear transmission system is as follows figure 2 shown. Pinion 1 meshes with bull gear 2.

[0054] Step 2. According to the physical model of the mechanical system obtained in step 1, determine the underlying fault information of the mechanical system with the reliability analysis technology based on fault physi...

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Abstract

The invention discloses a time-varying reliability evaluation method for a mechanical system based on a dynamic Bayesian network. The time-varying reliability of mechanical systems is calculated by using the Sterling information update formula and Monte Carlo simulation. Beneficial effects of the invention: Bayesian network provides a graphical representation method of knowledge, which can describe the causal probability relationship between node variables in a directed graphical manner, which can be used for uncertainty knowledge expression, causal reasoning and diagnostic reasoning Wait. The reasoning of the Bayesian network can effectively identify the weak links of the system reliability; its graphical display makes the relationship between the components in the mechanical system more intuitive and clear, and the dynamic Bayesian network technology is applied to the time-varying reliability of the mechanical system Evaluation, analysis of the multi-state and failure correlation of the mechanical system, to improve the theoretical support for improving the performance and reliability of the mechanical system.

Description

technical field [0001] The invention belongs to the technical field of reliability analysis of mechanical products, in particular to the technical field of time-varying reliability analysis of a mechanical system based on a dynamic Bayesian network. Background technique [0002] Due to the time dependence and complexity of operating environments such as loads, working conditions, and stresses, as well as product characteristic values, time-varying and nonlinearity are typical characteristics of modern complex systems. To study the theory and method of time-varying reliability of mechanical systems, explain various complex motion phenomena in mechanical systems, and realize the safe and reliable operation of large complex systems is an important means to improve the performance of complex mechanical systems. Therefore, research on time-varying reliability of mechanical systems is carried out very important. [0003] The traditional reliability design theory ignores the influ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 张小玲李彦锋黄洪钟朱顺鹏肖宁聪汪忠来许焕卫何俐萍米金华
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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