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LEARNING MODEL STRUCTURING DEVICE, TROUBLE FORECASTING SYSTEM, LEARNING MODEL STRUCTURING METHOD, AND LEARNING MODEL STRUCTURING PROGRAM

机译:学习模型构建设备,故障预测系统,学习模型构建方法和学习模型构建程序

摘要

PROBLEM TO BE SOLVED: To forecast troubles of components with the situation of their use being taken into consideration.SOLUTION: A learning model structuring device is equipped with characteristic quantity extracting means that extracts from information on vibration provided regarding prescribed components characteristic quantities representing characteristics of the vibration, and learning means that receives as teacher data a combination of the characteristic quantities and a level, the latter being the length of time from the start of use of the prescribed components until they run into trouble, and performs mechanical learning the use of the received teacher data thereby to structure a learning model for forecasting the length of time from the start of use of the prescribed components until they run into trouble.SELECTED DRAWING: Figure 2
机译:解决的问题:在考虑组件使用情况的情况下预测组件的故障解决方案:学习模型构建设备配备特征量提取装置,该组件从提供的振动信息中提取有关代表组件特征的指定组件特征量的信息振动和学习是指接收特征量和水平的组合作为教师数据,后者是从开始使用规定的组件到遇到麻烦为止的时间,并进行机械学习以使用接收到的教师数据,从而构建一个学习模型,用于预测从使用规定的组件开始到遇到麻烦为止的时间长度。图2

著录项

  • 公开/公告号JP2018072029A

    专利类型

  • 公开/公告日2018-05-10

    原文格式PDF

  • 申请/专利权人 FANUC LTD;

    申请/专利号JP20160208812

  • 发明设计人 KOIZUMI AKIRA;

    申请日2016-10-25

  • 分类号G01M99;G01H17;G06N99;

  • 国家 JP

  • 入库时间 2022-08-21 13:10:52

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