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Failure data management method based on cluster estimation

机译:基于聚类估计的故障数据管理方法

摘要

The present invention relates to a technique for recording and managing failure data generated in a facility, wherein the failure recording system manages the failure data for the target facility, where each function has a function to observe whether the facility has a fault. Collects the failure indicator data in the situation that occurred, matches and stores it together with the failure history, cause, and type, extracts a plurality of preset feature values from the failure indicator data, calculates clustering for the failure indicator data, Determine the level of clarity of the evaluation criteria for each fault according to the calculated clustering level, determine whether the determined level of clarity falls within a predefined threshold range, and reclassify the corresponding fault phenomenon according to the determination result. Induces.
机译:本发明涉及一种用于记录和管理设施中产生的故障数据的技术,其中故障记录系统管理目标设施的故障数据,其中每个功能具有观察设施是否有故障的功能。收集发生情况下的故障指标数据,将其与故障历史记录,原因和类型进行匹配并存储,从故障指标数据中提取多个预设特征值,为故障指标数据计算聚类,确定级别根据计算出的聚类等级,确定每个故障的评估标准的清晰度,确定所确定的清晰度是否落在预定的阈值范围内,并根据确定结果对相应的故障现象进行重新分类。诱导。

著录项

  • 公开/公告号KR102141391B1

    专利类型

  • 公开/公告日2020-08-05

    原文格式PDF

  • 申请/专利权人 KOREA GAS TECHNOLOGY CORPORATION;

    申请/专利号KR20190167744

  • 发明设计人 최진혁;전태현;김현승;

    申请日2019-12-16

  • 分类号G05B23/02;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:06

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