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MACHINE LEARNING DEVICE, DATA PROCESSING SYSTEM, INFERENCE DEVICE, AND MACHINE LEARNING METHOD

机译:机器学习设备,数据处理系统,推理设备和机器学习方法

摘要

[Problem] To provide a machine learning device which makes it possible to accurately recognize an abnormality and a sign of abnormality in an electromagnetic valve device without depending on the experience of a worker, etc. [Solution] This machine learning device (200) is applied to an electromagnetic valve device including a driving device (12) which includes a cylinder and a piston, and an electromagnetic valve (1) which controls the supply and discharge of a driving fluid (A) to and from the driving device (12), and comprises: a training data set storage unit (202) which stores a plurality of training data sets composed of input data including the temperature and humidity in the cylinder and output data that is composed of diagnostic information about the driving device (12) and corresponds to the input data; a training unit (203) which receives as inputs the plurality of training data sets and trains a training model that infers a correlation between the input data and the output data; and a trained model storage unit (204) which stores the trained model.
机译:[问题]提供一种机器学习装置,使得可以在不取决于工人的经验等的情况下准确地识别电磁阀装置中的异常的异常和迹象。[解决方案]本机学习设备(200)是应用于电磁阀装置,该电磁阀装置包括驱动装置(12),其包括圆筒和活塞,以及电磁阀(1),其控制驱动器(a)往返驱动装置(12)的供应和排出,并且包括:训练数据集存储单元(202),其存储由包括汽缸中的温度和湿度的输入数据组成的多个训练数据集,并且由关于驱动装置(12)的诊断信息组成的输出数据和对应于输入数据;训练单元(203),其接收多个训练数据集并列举培训模型,该培训模型中介绍输入数据与输出数据之间的相关性;和培训的模型存储单元(204),其存储训练的模型。

著录项

  • 公开/公告号WO2021220767A1

    专利类型

  • 公开/公告日2021-11-04

    原文格式PDF

  • 申请/专利权人 KANEKO SANGYO CO. LTD.;

    申请/专利号WO2021JP14972

  • 发明设计人 AOYAMA FUMIAKI;

    申请日2021-04-09

  • 分类号F16K31/163;G05B23/02;F16K37;G16Y10/25;G16Y40/10;

  • 国家 JP

  • 入库时间 2024-06-14 22:20:19

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