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SYSTEMS AND METHODS FOR CONTINUOUSLY MODELING INDUSTRIAL ASSET PERFORMANCE

机译:连续建模工业资产绩效的系统和方法

摘要

A method of continuously modeling industrial asset performance includes an initial model build block creating a first model based on a combination of an industrial asset historical data, configuration data and training data, filtering at least one of the historical data, configuration data, and training data, and a continuous learning block predicting performance of one or more members of an ensemble of models by evaluating a result of the one or more ensemble members to a predetermined threshold. A model application block pushing a selected model ensemble member to a performance diagnostic center, selecting the member based on comparing model ensemble members to a fielded modeling algorithm. A system and computer-readable medium are disclosed.
机译:一种对工业资产绩效进行连续建模的方法,包括初始模型构建模块,该模块基于工业资产历史数据,配置数据和培训数据的组合创建第一模型,过滤历史数据,配置数据和培训数据中的至少一个以及通过将一个或多个集合成员的结果评估到预定阈值来预测模型的一个或多个成员的性能的连续学习块。一个模型应用程序块将选定的模型集合成员推到性能诊断中心,并根据模型集合成员与现场建模算法的比较来选择成员。公开了一种系统和计算机可读介质。

著录项

  • 公开/公告号WO2018089734A1

    专利类型

  • 公开/公告日2018-05-17

    原文格式PDF

  • 申请/专利权人 GENERAL ELECTRIC COMPANY;

    申请/专利号WO2017US61002

  • 发明设计人 XU RUI;XU YUNWEN;YAN WEIZHONG;

    申请日2017-11-10

  • 分类号G06N99;G06N5/04;

  • 国家 WO

  • 入库时间 2022-08-21 12:44:09

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