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Method of analyzing time series data and abnormality monitoring device of time series data

机译:时间序列数据的分析方法及时间序列数据的异常监视装置

摘要

PROBLEM TO BE SOLVED: To improve detection accuracy of time series data by a trajectory parallel measure method.SOLUTION: An analysis method of time series data for analyzing the time series data obtained from a monitoring and control target by a trajectory parallel measure method includes: embedding the obtained time series data in an n-dimensional state space; selecting one data vector as a selected vector from data vectors which are the embedded time series data; limiting the data vectors in the n-dimensional state space based on a logic operation; selecting a neighbor vector embedded near the selected vector from a range of the limited data vectors; and calculating a tangent line of a trajectory of the selected vector and the neighbor vector to analyze the time series data based on the parallelism of the tangent line.SELECTED DRAWING: Figure 2
机译:要解决的问题:通过轨迹平行测量方法提高时间序列数据的检测精度解决方案:一种用于分析轨迹平行测量方法从监视和控制目标获得的时间序列数据的时间序列数据分析方法包括:将获得的时间序列数据嵌入到n维状态空间中;从作为嵌入时间序列数据的数据向量中选择一个数据向量作为选择向量;基于逻辑运算将数据向量限制在n维状态空间中;从有限的数据向量的范围中选择嵌入在所选向量附近的邻居向量;并计算所选向量和相邻向量的轨迹的切线,以基于切线的平行度分析时间序列数据。图2

著录项

  • 公开/公告号JP6365144B2

    专利类型

  • 公开/公告日2018-08-01

    原文格式PDF

  • 申请/专利权人 株式会社明電舎;

    申请/专利号JP20140180721

  • 发明设计人 ▲蓬▼田 倫之;林 孝則;

    申请日2014-09-05

  • 分类号G05B23/02;

  • 国家 JP

  • 入库时间 2022-08-21 13:08:51

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