Evaluation method of failure reliability of graduate education talents under interval model

Abstract

The invention relates to an evaluation method of the failure reliability of graduate education talents under an interval model, a fault tree analysis method is adopted for the talent failure conditionof research student education, and reliability assessment is realized based on a Monte Carlo method (MCM) under the interval model. Firstly, a fault tree model with a talent failure as a top event isestablished; and then calculating the failure probability under the interval model by using Matlab software through a Monte Carlo simulation method, thereby realizing the reliability assessment of the academic industry which cannot be smoothly completed by researchers. The method has the advantages that complex interval operation is not needed, only the logic relation between the bottom event andthe top event in the fault tree needs to be established, the bottom event failure probability interval is determined, and a high-precision failure value can be obtained when the sampling frequency ofthe inner layer and the outer layer reaches a certain value.

Description

technical field [0001] The invention belongs to the technical field of education quality evaluation, and the invention relates to an evaluation method of "talent failure" for graduate students. Based on the double-layer Monte Carlo method theory, the failure probability is calculated under the interval model to realize the reliability evaluation of graduate students who cannot successfully complete their studies. Provide guidance for postgraduate education. Background technique [0002] With the increasing demand for highly educated talents in the modernization of the country, my country's postgraduate education has been greatly developed, and the scale has expanded rapidly. Therefore, postgraduate education must face many new problems and new characteristics. At present, the source of postgraduate students is relatively complicated, some come from factories, some come from colleges and universities, some have received undergraduate education, and some only have a junior col...

AI Technical Summary

Problems solved by technology

[0004] In the traditional fault tree analysis, the precise value or probability statistics information of the failure probability of the known bottom event is required, but in the fault tree analysis of the complex system, it is often difficult to obtain sufficient data of the system bottom event, as well as input information and factors affecting the system failure The diversity of the system fault tree makes it impossible to give all the fault probabilities of events at the bottom of the system fault tree accurate values, and it is also impossible to obtain accurate probability statistics information

Images