Autor:
Patan, Maciej (1975- ) ; Uciński, Dariusz
Współtwórca:
Korbicz, Józef - ed. ; Sauter, Dominique - ed.
Tytuł:
Configuring a sensor network for fault detection in distributed parameter systems
Podtytuł:
Tytuł publikacji grupowej:
Temat i słowa kluczowe:
branch-and-bound ; constrained experimental design ; distributed parameter systems ; fault detection ; parameter estimation ; sensor location
Abstract:
The problem of fault detection in distributed parameter systems (DPSs) is formulated as that of maximizing the power of a parametric hypothesis test which checks whether or not system parameters have nominal values. A computational scheme is provided for the design of a network of observation locations in a spatial domain that are supposed to be used while detecting changes in the underlying parameters of a distributed parameter system. ; The setting considered relates to a situation where from among a finite set of potential sensor locations only a subset 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. Then, the solution of a resulting combinatorial problem is determined based on the branch-and-bound method. As its essential part, a relaxed problem is discussed in which the sensor locations are given a priori and the aim is to determine the associated weights, which quantify the contributions of individual gauged sites. ; The concavity and differentiability properties of the criterion are established and a gradient projection algorithm is proposed to perform the search for the optimal solution. The delineated approach is illustrated by a numerical example on a sensor network design for a two-dimensional convective diffusion process.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Data wydania:
Typ zasobu:
DOI:
Strony:
Źródło:
AMCS, volume 18, number 4 (2008) ; kliknij tutaj, żeby przejść