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ANALYSIS METHOD OF 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 detect transition of a dynamical system 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 to calculate a trajectory parallel measure; performing moving average processing on the time series data of the calculated trajectory parallel measure; and detecting transition of a dynamical system that occurs in the time series data based on an increased value of the trajectory parallel measure in the time series data of the trajectory parallel measure after the moving average processing.;SELECTED DRAWING: Figure 2;COPYRIGHT: (C)2016,JPO&INPIT
机译:解决的问题:通过轨迹并行测量方法检测时间序列数据的动态系统的过渡;解决方案:一种时间序列数据的分析方法,用于分析通过轨迹并行从监视和控制目标获得的时间序列数据测量方法包括:将获得的时间序列数据嵌入到n维状态空间中,以计算轨迹平行测量;对计算出的轨迹平行测度的时间序列数据进行移动平均处理;在移动平均处理之后,基于轨迹并行量度的时间序列数据中轨迹平行量度的增加值,检测在时间序列数据中发生的动力学系统的过渡。SELECTED DRAWING:图2; COPYRIGHT :( C)2016,日本特许厅

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