Article (Scientific journals)
Sensor validation using principal component analysis
Kerschen, Gaëtan; De Boe, Pascal; Golinval, Jean-Claude et al.
2005In Smart Materials and Structures, 14 (1), p. 36-42
Peer reviewed
 

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Keywords :
sensor informationn; monitoring of structures; component analysis
Abstract :
[en] For a reliable on-line vibration monitoring of structures, it is necessary to have accurate sensor information. However, sensors may sometimes be faulty or may even become unavailable due to failure or maintenance activities. The problem of sensor validation is therefore a critical part of structural health monitoring. The objective of the present study is to present a procedure based on principal component analysis which is able to perform detection, isolation and reconstruction of a faulty sensor. Its efficiency is assessed using an experimental application.
Disciplines :
Materials science & engineering
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Kerschen, Gaëtan  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
De Boe, Pascal;  Université de Liège - ULiège > LTAS - Vibrations et Identification des Structures
Golinval, Jean-Claude  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Worden, Keith
Language :
English
Title :
Sensor validation using principal component analysis
Publication date :
February 2005
Journal title :
Smart Materials and Structures
ISSN :
0964-1726
eISSN :
1361-665X
Publisher :
Iop Publishing Ltd, Bristol, United Kingdom
Volume :
14
Issue :
1
Pages :
36-42
Peer reviewed :
Peer reviewed
Available on ORBi :
since 18 August 2009

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