Reliability-driven sensor selection via observability indices

被引：0
|
作者：
Mathews, H. Kirk [1 ]
Kammer, Leonardo C. [1 ]
机构：
[1] GE Global Res, Automat & Control Lab, Niskayuna, NY 12309 USA
来源：
2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13 | 2007年
关键词：
sensor selection; state estimation; observability; Kalman filtering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This document addresses the problem of selecting a sensor set to be installed in a given system, such that the estimation ability provided by the sensor set is minimally impacted by the loss (detected failure) of any one of those sensors. The metrics utilized to quantify the estimation ability are defined based on the Kalman-filter covariance matrix and provide an assessment of the degree of observability during transient response.
引用
收藏
页码：3583 / 3588
页数：6
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