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Anomaly identification method for structural monitoring data considering spatial-temporal correlation

机译:考虑空间关联的结构监测数据的异常识别方法

摘要

The present invention belongs to the technical field of health monitoring for civil structures, and an anomaly identification method considering spatial-temporal correlation is proposed for structural monitoring data. First, define current and past observation vectors for the monitoring data and pre-whiten them; second, establish a statistical correlation model for the pre-whitened current and past observation vectors to simultaneously consider the spatial-temporal correlation in the monitoring data; then, divide the model into two parts, i.e., the system-related and system-unrelated parts, and define two corresponding statistics; finally, determine the corresponding control limits of the statistics, and it can be decided that there is anomaly in the monitoring data when each of the statistics exceeds its corresponding control limit.
机译:本发明属于用于民用结构的健康监测技术领域,提出了考虑空间关联的异常识别方法,用于结构监测数据。首先,定义监测数据的电流和过去的观察向量,并预先讨厌它们;其次,建立预制电流和过去观察向量的统计相关模型,同时考虑监测数据中的空间时间相关;然后,将模型分为两个部分,即系统相关和系统 - 不相关的部分,并定义两个相应的统计;最后,确定统计数据的相应控制限制,并且可以决定当每个统计数据超过其相应的控制限制时,监控数据中存在异常。

著录项

  • 公开/公告号US10943174B2

    专利类型

  • 公开/公告日2021-03-09

    原文格式PDF

  • 申请/专利权人 DALIAN UNIVERSITY OF TECHNOLOGY;

    申请/专利号US201816090744

  • 申请日2018-02-12

  • 分类号G06N7;G06F17/11;G06F17/16;G06F17/15;G06K9;G06F11/07;G06F30/23;G06F111/10;

  • 国家 US

  • 入库时间 2022-08-24 17:34:18

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