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heavy electric equipment deterioration prediction system based on time-series isolation diagnostic information and method therefor

机译:基于时序隔离诊断信息的重型电气设备劣化预测系统及其方法

摘要

The present invention relates to a system for predicting deterioration of heavy electric equipment by analyzing time-series insulation diagnostic information. Diagnosis for each heavy electric equipment so that the deterioration degree and failure point of the heavy electric equipment can be accurately predicted through time-series data-based quantitative analysis A database including diagnostic history data and heavy electric equipment identification information for a plurality of heavy electric equipments generated by arranging information time-series is constructed, and a plurality of diagnostic history data and heavy electric equipment identification information are received from the database to receive the heavy electric equipment An object of the present invention is to provide a technology for predicting the deterioration progress of a device and generating failure prediction information including a failure time point.
机译:本发明涉及一种通过分析时序绝缘诊断信息来预测重型电气设备劣化的系统。对每个重型电气设备进行诊断,以便通过基于时间序列数据的定量分析,准确预测重型电气设备的劣化程度和故障点。数据库包括诊断历史数据和重型电气设备识别信息,用于通过排列信息生成的多个重型电气设备构造时间序列,并从数据库接收多个诊断历史数据和重型电气设备识别信息以接收重型电气设备。本发明的目的是提供一种用于预测设备的劣化过程并生成包括故障时间点的故障预测信息的技术。

著录项

  • 公开/公告号KR102366922B1

    专利类型

  • 公开/公告日2022-02-28

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020210113754

  • 发明设计人 이상훈;

    申请日2021-08-27

  • 分类号G01R31/40;G01R31/12;G01R31/62;G06Q10/02;

  • 国家 KR

  • 入库时间 2022-08-24 23:50:47

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