首页> 外国专利> MACHINE LEARNING APPARATUS WHICH LEARNS FAILURE PREDICTION OF FAN, DEVICE CONTAINING MACHINE LEARNING APPARATUS AND METHOD OF LEARNING MACHINE

MACHINE LEARNING APPARATUS WHICH LEARNS FAILURE PREDICTION OF FAN, DEVICE CONTAINING MACHINE LEARNING APPARATUS AND METHOD OF LEARNING MACHINE

机译:学习风扇故障预测的机器学习设备,包含机器的学习设备和学习机器的方法

摘要

PROBLEM TO BE SOLVED: To provide a machine learning apparatus which can predict failure of a fan with high accuracy, a device which contains the machine learning apparatus and method of learning a machine.;SOLUTION: A machine learning apparatus which learns failure prediction of the fan comprises a state observation unit which observes state variable related to actuation of the fan, a label acquisition unit which acquires label concerning presence or absence of failure of the fan, and a learning unit which creates the learning model predicting the failure of the fan on the basis of the state variable observed from the state observation unit and the label acquired from the label acquisition unit.;SELECTED DRAWING: Figure 1;COPYRIGHT: (C)2018,JPO&INPIT
机译:解决的问题:为了提供一种能够高精度地预测风扇的故障的机器学习设备,一种包含该机器学习设备的设备和学习机器的方法;解决方案:一种学习机器的故障预测的机器学习设备。风扇包括:状态观察单元,其观察与风扇的致动有关的状态变量;标签获取单元,其获取与风扇故障的存在或不相关的标签;以及学习单元,其创建预测风扇故障的学习模型。从状态观察单元观察到的状态变量和从标签获取单元获取的标签的基础。;选定的图纸:图1;版权:(C)2018,JPO&INPIT

著录项

  • 公开/公告号JP2018088179A

    专利类型

  • 公开/公告日2018-06-07

    原文格式PDF

  • 申请/专利权人 FANUC LTD;

    申请/专利号JP20160231698

  • 申请日2016-11-29

  • 分类号G05B23/02;

  • 国家 JP

  • 入库时间 2022-08-21 13:11:35

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