首页> 外国专利> SYSTEM RELIABILITY ANALYSIS AND MANAGEMENT USING PHYSICS-BASED MODELS EMBEDDED IN A BAYSIAN NETWORK

SYSTEM RELIABILITY ANALYSIS AND MANAGEMENT USING PHYSICS-BASED MODELS EMBEDDED IN A BAYSIAN NETWORK

机译:贝叶斯网络中基于物理模型的系统可靠性分析与管理

摘要

A method for assessing reliability in a gas turbine engine system includes using a processor to carry out instructions from a memory to propagate a physics-based model through a Bayesian network to assess reliability for the gas turbine engine system. A system for assessing reliability for a gas turbine engine system includes a memory including instructions to propagate a physics-based model through a Bayesian network to assess reliability for a gas turbine engine system. The system also includes a processor operatively connected to the memory to carry out the instructions. A network interface can be operatively connected to the processor to receive reliability data from operation of gas turbine engines, wherein the memory includes instructions for updating data module or modules based on reliability data.
机译:一种用于评估燃气涡轮发动机系统中的可靠性的方法,包括使用处理器来执行来自存储器的指令,以通过贝叶斯网络传播基于物理学的模型,以评估燃气涡轮发动机系统的可靠性。一种用于评估燃气涡轮发动机系统的可靠性的系统包括存储器,该存储器包括用于通过贝叶斯网络传播基于物理学的模型以评估燃气涡轮发动机系统的可靠性的指令。该系统还包括可操作地连接到存储器以执行指令的处理器。网络接口可以可操作地连接到处理器以从燃气涡轮发动机的操作接收可靠性数据,其中存储器包括用于基于可靠性数据更新一个或多个数据模块的指令。

著录项

  • 公开/公告号US2014324363A1

    专利类型

  • 公开/公告日2014-10-30

    原文格式PDF

  • 申请/专利权人 UNITED TECHNOLOGIES CORPORATION;

    申请/专利号US201414264593

  • 发明设计人 GRANT L. REINMAN;

    申请日2014-04-29

  • 分类号G01M15/14;G06F17/18;

  • 国家 US

  • 入库时间 2022-08-21 16:08:06

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