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Design of Non-Redundant Sensor Networks for Reliable Estimation in Nonlinear Systems
Journal
Computer Aided Chemical Engineering
ISSN
15707946
Date Issued
2022-01-01
Author(s)
Patel, Garima
Bhushan, Mani
Abstract
In this work, we focus on the problem of designing non-redundant sensor network for steady state nonlinear processes where minimum number of sensors are placed to ensure reliable estimation of all process variables. We propose to use an equation-variable matching approach as the basis for designing sensor networks. This approach is based only on the structural information of the system of equations and hence can be used for nonlinear systems without requiring any linearization or knowledge of operating values of the process variables and process parameters. Based on the obtained equation- variable matching, a signal flow graph which represents the sequence of computation of various variables is constructed. Reliability of estimating each variable is then computed based on information extracted from the signal flow graph. The approach is applied to a nonlinear process case study to design optimal sensor network.
Volume
49
Subjects