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    李静

    • 副教授       硕士生导师
    • 性别:女
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:建设管理系
    • 学科:工程管理
    • 办公地点:建设工程学部4号楼509
    • 联系方式:lijing@dlut.edu.cn
    • 电子邮箱:lijing@dlut.edu.cn

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    基于二元决策图的故障树分析方法

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    发表时间:2022-10-10

    发表刊物:人民长江

    所属单位:建设工程学部

    期号:23

    页面范围:64-69

    ISSN号:1001-4179

    摘要:Traditional binary decision diagram ( BDD) method for fault tree ( FT) analysis is dependent on variable ordering, which causes large calculation and memory. To settle this problem, the paper proposes direct generation method on the basis of fault tree pre-progressing, which can avoid the influence of variable ordering and improve the efficiency of transforming FT to corresponding BDD. In the pre-processing, the original FT is simplified and modularized using linear-time algorithm. Then the direct generation method is firstly used in every module and then used in the whole FT. Finally, the direct generation method is compared with module connection method and neighbor-event-first method. The result shows that the direct generation meth-od obtains smaller number of the BDD nodes and costs less calculation.

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