Equipment integration system reliability analysis method based on dynamic fault tree

Abstract

The invention discloses an equipment integration system reliability analysis method based on a dynamic fault tree, and belongs to the field of reliability evaluation of equipment integration systems. The method comprises the following steps: (1) equipment integration system fault data processing; (2) equipment integration system dynamic fault tree modeling based on an ontology model; (3) reliability evaluation according to a dynamic fault tree model, to be specific, A, carrying out module division on the dynamic fault tree; B, converting the dynamic fault tree into a Markov chain; C, solving the fault rate of a dynamic sub-tree based on a Markov process; D, calculating the system reliability according to overall structure functions. The equipment integration system reliability analysis method has the benefits that the effects of identifying key parts of the equipment integration system and quantifying the degree of reliability of the equipment integration system are achieved, and the dynamic fault characteristics of the equipment integration system can be adapted.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps predict when an electronic component will be damaged or malfunctioned during its lifetime by comparing it with similar devices from previous generations before they are used again later. By doing things like identifying which parts were affected earlier, we could make better decisions about how well these new products function properly after being installed into their final product. Overall, our technical results help us identify any issues related to improving the performance and lifespan of electronics systems while reducing costs associated therewith.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the security and efficiency of train doors equipped with slide plugs or other similar components like latches and locks. However, current designs have limitations related to redundant and faulty feature detection capabilities, leading to potential issues during maintenance operations when there may be multiple causes of malfunctions within the railway network. Therefore, it proposes new solutions involving advanced mathematical techniques called dynamic fault diagrams (DFG).

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