首页> 外国专利> SELF ADAPTIVE TWO DIMENSIONAL LEAST SQUARE FILTER FOR DISTRIBUTED SENSING DATA

SELF ADAPTIVE TWO DIMENSIONAL LEAST SQUARE FILTER FOR DISTRIBUTED SENSING DATA

机译:自适应二维最小二乘滤波器用于分布式传感数据

摘要

A method, apparatus and computer-readable medium for filtering a signal from a plurality of distributed sensors is disclosed. The signal is obtained from the plurality of distributed strain sensors. A first subspace of a measurement space of the obtained signal is selected, wherein the first subspace is characterized by a step having a selected step size. An error for a filter corresponding to the first subspace is estimated and the step size when the estimated error meets a selected criterion. A second subspace characterized by a step having the adjusted step size is selected and the signal is filtered by applying a filter corresponding to the second subspace.
机译:公开了一种用于过滤来自多个分布式传感器的信号的方法,装置和计算机可读介质。从多个分布式应变传感器获得信号。选择所获得的信号的测量空间的第一子空间,其中第一子空间的特征在于具有选定步长的步长。估计与第一子空间相对应的滤波器的误差,并在估计的误差满足所选标准时确定步长。选择特征在于具有调整后的步长的步长的第二子空间,并且通过应用与第二子空间相对应的滤波器来对信号进行滤波。

著录项

  • 公开/公告号CA2819516C

    专利类型

  • 公开/公告日2016-06-14

    原文格式PDF

  • 申请/专利权人 BAKER HUGHES INCORPORATED;

    申请/专利号CA20112819516

  • 发明设计人 CHEN JIANFENG;YANG XUDONG;

    申请日2011-11-30

  • 分类号G01V3/38;G01V3;

  • 国家 CA

  • 入库时间 2022-08-21 14:21:41

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