首页> 外国专利> Model generation device, abnormality occurrence prediction device, abnormality occurrence prediction model generation method and abnormality occurrence prediction method

Model generation device, abnormality occurrence prediction device, abnormality occurrence prediction model generation method and abnormality occurrence prediction method

机译:模型生成装置,异常发生预测装置,异常发生预测模型生成方法以及异常发生预测方法

摘要

PROBLEM TO BE SOLVED: To provide an abnormality occurrence prediction device or the like for suitably predicting the occurrence of an abnormality in a processed product. An abnormality occurrence prediction device including a control unit for generating an abnormality occurrence prediction model for predicting the occurrence of an abnormality in a processed product, wherein the control unit includes a data acquisition step S11 for acquiring operation data of a processing facility. The acquired operation data is divided into predetermined time intervals, and a pattern acquisition step S13 for generating a plurality of time series patterns and a plurality of acquired time series patterns are clustered and classified into a plurality of clusters, and each of them is classified into a plurality of clusters. Based on the clustering step S15 for deriving the cluster center of gravity of the cluster and the distance from the cluster center of time of the time series pattern belonging to a predetermined cluster, it is determined whether the time series pattern is normal or abnormal, and the determination result is time. A determination step S16 for labeling the series pattern and a model generation step S17 for generating an abnormality occurrence prediction model based on the determination result determined in the determination step S16 are executed. [Selection diagram] Fig. 2
机译:解决的问题:提供一种异常发生预测装置等,以适当地预测加工产品中的异常发生。异常发生预测装置包括控制单元,该控制单元用于生成用于预测加工产品中的异常的发生的异常发生预测模型,其中,该控制单元包括用于获取处理设备的操作数据的数据获取步骤S11。将获取的操作数据划分为预定的时间间隔,并且将用于生成多个时间序列模式和多个获取的时间序列模式的模式获取步骤S13聚类并分类为多个聚类,并且将它们中的每个分类为多个集群。基于用于导出聚类的聚类重心和属于预定聚类的时间序列模式的离聚类时间中心的距离的聚类步骤S15,确定时间序列模式是正常还是异常,并且确定结果是时间。执行用于标记系列图案的确定步骤S16和用于基于在确定步骤S16中确定的确定结果来生成异常发生预测模型的模型生成步骤S17。 [选择图]图2

著录项

  • 公开/公告号JP2020166407A

    专利类型

  • 公开/公告日2020-10-08

    原文格式PDF

  • 申请/专利权人 三菱重工航空エンジン株式会社;

    申请/专利号JP20190064623

  • 发明设计人 沢田 洸;

    申请日2019-03-28

  • 分类号G06Q10/04;G05B19/418;

  • 国家 JP

  • 入库时间 2022-08-21 11:35:34

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号