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HIERARCHICAL PROBABILITY MODEL GENERATION SYSTEM, HIERARCHICAL PROBABILITY MODEL GENERATION METHOD, AND PROGRAM

机译:分层概率模型生成系统,分层概率模型生成方法和程序

摘要

A hierarchical probability model capable of improving the performance and reliability of an availability analysis in a large and complex system is efficiently generated.;A hierarchical probability model generation system includes: an independent event analysis unit that specifies independent events about operating conditions of a system on the basis of availability requirements of the system and configuration information of the system, the independent events being calculable independently of each other; an event tree generation unit that generates an event tree using the independent events; and a state transition model generation unit that generates state transition models used to calculate occurrence probabilities of the independent events.
机译:有效地生成了能够提高大型复杂系统中可用性分析的性能和可靠性的分层概率模型。分层概率模型生成系统包括:独立事件分析单元,用于指定有关系统运行状况的独立事件。系统的可用性要求和系统的配置信息的基础,独立事件可以彼此独立地计算;事件树生成单元,其使用独立事件来生成事件树;状态转换模型生成单元,其生成用于计算独立事件的发生概率的状态转换模型。

著录项

  • 公开/公告号US2015120640A1

    专利类型

  • 公开/公告日2015-04-30

    原文格式PDF

  • 申请/专利权人 NEC CORPORATION;

    申请/专利号US201314400074

  • 发明设计人 FUMIO MACHIDA;

    申请日2013-04-04

  • 分类号G06N7/00;

  • 国家 US

  • 入库时间 2022-08-21 15:22:33

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