TY - GEN
A1 - Uciński, Dariusz
A2 - Korbicz, Józef - red.
A2 - Uciński, Dariusz - red.
PB - Zielona Góra: Uniwersytet Zielonogórski
N2 - The work treats the problem of fault detection for processes described by partial differential equations as that of maximizing the power of a parametric hypothesis test which checks whether or not system parameters have nominal values. A simple node activation strategy is discussed for the design of a sensor network deployed in a spatial domain that is supposed to be used while detecting changes in the underlying parameters which govern the process evolution
N2 - The setting considered relates to a situation where from among a finite set of potential sensor locations only a subset of them can be selected because of the cost constraints. As a suitable performance measure, the Ds-optimality criterion defined on the Fisher information matrix for the estimated parameters is applied.
N2 - The problem is then formulated as the determination of the density of gauged sites so as to maximize the adopted design criterion, subject to inequality constraints incorporating a maximum allowable sensor density in a given spatial domain. The search for the optimal solution is performed using a simplicial decomposition algorithm. The use of the proposed approach is illustrated by a numerical example involving sensor selection for a two-dimensional diffusion process.
L1 - http://www.zbc.uz.zgora.pl/Content/46961/AMCS_2012_22_1_2.pdf
L2 - http://www.zbc.uz.zgora.pl/Content/46961
KW - sensor network
KW - parameter estimation
KW - distributed parameter system
KW - optimum experimental design
KW - Fisher information matrix
T1 - Sensor network scheduling for identification of spatially distributed processes
UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=46961
ER -