CAJ | 학술논문

将贝叶斯网络运用于航：材可修件周转比例的计算。在贝叶斯网络学习阶段，采用BDe评分函数和贪婪算法搜索网络结构，运用贝叶斯算法进行参数学习，从而建立了可修件消耗定额预测模型，并对预测结果进行分析比较。最后利用贝叶斯网络预测结果进行周转比例的计算工作。结果表明，把贝叶斯网络应用于航材周转比例的计算是可行的。
장패협사망락운용우항：재가수건주전비례적계산。재패협사망락학습계단，채용BDe평분함수화탐람산법수색망락결구，운용패협사산법진행삼수학습，종이건립료가수건소모정액예측모형，병대예측결과진행분석비교。최후이용패협사망락예측결과진행주전비례적계산공작。결과표명，파패협사망락응용우항재주전비례적계산시가행적。
This paper proposes a calculation of repairable spares turnover ratio by using Bayesian network. In the learning process, BDe scoring metric and Bayesian approach are used to structure learning and parameters learning, respectively. Finally, the results yielded by the Bayesian network are used to calculate repairable spares turnover ratio.