Method and system for detecting random behavior potential problem based on digital twinning model

Abstract

The invention relates to a method and a system for detecting a random behavior potential problem based on a digital twinning model. The method comprises the following steps: establishing a digital twinning geometric model of a circuit system; constructing a connection matrix according to the digital twin geometric model; determining components with random behaviors, random behavior modes of the components and the probability of occurrence of the random behavior modes according to the digital twinning geometric model; constructing a connection matrix set according to the random behavior mode ofthe component, the probability of occurrence of the random behavior mode and the connection matrix; searching a potential path under the connection matrix set through a depth-first algorithm; and calculating the occurrence probability of each potential path. Through the occurrence probability of each potential path, a basis is provided for maintenance of the circuit system.

Description

Technical field [0001] The present invention relates to the technical field reliability analysis, more particularly to a method and system for detecting potential problems twin digital model based on random behavior. Background technique [0002] Research has shown that in large, complex systems inevitably widespread potential problems, but also inspired a class of problems under certain conditions non-design potential problems expected with conventional testing methods and reliability analysis methods are difficult to find this kind of problem, It has high hidden. Once the potential problem is excited, its consequences are often disastrous, causing high damage to the system. The potential problem is the inevitable result of the struggle between contradictory complexity of the system and the limited ability to grasp designers. Imagine if at the design stage, will be able to use computer technology and artificial intelligence and machine learning techniques for large and complex c...

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Problems solved by technology

[0002] Researches at home and abroad have shown that potential problems are unavoidably common in large-scale complex systems, and potential problems are a type of problem triggered under specific conditions that are not expected by the design. It is difficult to find such problems with conventional detection methods and reliability analysis methods. highly concealed

Once a potential problem is triggered, its consequences are often catastrophic, causing high damage to the system

For another example, due to the accumulation of the number of times and usage time of the equipment, its performance will inevitably deteriorate during operation, so that its failure or failure probability exists and increases accordingly, which will increase the probability of potential problems.

The existing potential problem analysis method assumes that it has absolutely nothing to do with the failure of components. Under certain conditions, it will lead to a type of problem that the desired function of the system is suppressed unexpectedly or the unexpected function is stimulated unexpectedly, ignoring the random behavior of components. potential problems

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