Modularized method for obtaining nuclear power station fault tree top item failure probability in modularized manner

Abstract

The invention belongs to the technical field of fault analysis and relates to a modularized method for obtaining a nuclear power station fault tree top item failure probability. The method comprises the steps of: establishing a fault tree; carrying out modularization on the fault tree; converting the modularized fault tree into a BDD structure; and carrying out traversal on the BDD structure containing modules. The modularized method for obtaining the nuclear power station fault tree top item failure probability is a fault tree analysis method low in energy consumption and high in speed, the most simplified BDD structure subjected to absorption simplification is transverse, all minimal cut sets (MCSs) are directly obtained, and non-cross cut sets of the MCSs are simultaneously obtained; and compared with a conventional BDD method, the method provided by the invention is higher in calculation efficiency and more precise in result. The modularized BDD method has the advantages that the scale and number of the complex fault trees are reduced to lower the calculation cost, the memory consumption of the conventional BDD method is effectively reduced, and the calculation efficiency is simultaneously improved.

Description

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AI Technical Summary

Benefits of technology

This new approach for analyzing failures on nuclear plants involves creation of an improved way to analyze faults quickly without having complicated structures or requiring excessive computing resources compared to existing methods like conventional binary search (BDO). By simplifying certain parts of this system while still maintaining its effectiveness over longer periods of operation it becomes easier than previous approaches such as comparing them against each other's performance. Overall, these techniques improve the accuracy and speed of detecting faulty components within nuclear facilities.

Problems solved by technology

This technical problem addressed in this patents relates to improving the efficiency and accuracy of analyzing failure trees during nuclear power generation processes due to their high dimensionality and complicated nature. Current methods involve performing numerical simulations or experiments with different types of data sources like log files or simulated environments, resulting in difficulties in accurately determining if certain parts will fail before others. Therefore, researches aimed towards developing efficient tools called fault tree analyzes, specifically those involving minimal cutting set(MMSE), maximum overlap set(MESC), partial redundant set (PRS)/partial relictability check sum equation) functions, and other advanced mathematical concepts.

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