DocumentCode
3169119
Title
Reliability-Driven Sensor Selection via Observability Indices
Author
Mathews, H. Kirk ; Kammer, Leonardo C.
Author_Institution
GE Global Res., Niskayuna
fYear
2007
fDate
9-13 July 2007
Firstpage
3715
Lastpage
3720
Abstract
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.
Keywords
Kalman filters; covariance matrices; observability; state estimation; Kalman filter covariance matrix; estimation ability; observability indices; reliability driven sensor selection; sensor set; Covariance matrix; Estimation error; Filtering; Kalman filters; Observability; Redundancy; Sensor systems; State estimation; Steady-state; Transient response; Kalman filtering; Sensor selection; observability; state estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2007. ACC '07
Conference_Location
New York, NY
ISSN
0743-1619
Print_ISBN
1-4244-0988-8
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2007.4282735
Filename
4282735
Link To Document