Title :
Reliability-Driven Sensor Selection via Observability Indices
Author :
Mathews, H. Kirk ; Kammer, Leonardo C.
Author_Institution :
GE Global Res., Niskayuna
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;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282735
