Sensor validation using principal component analysis

Kerschen, Gaëtan; De Boe, Pascal; Golinval, Jean-Claude; Worden, Keith

doi:10.1088/0964-1726/14/1/004

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Article (Scientific journals)

Sensor validation using principal component analysis

Kerschen, Gaëtan; De Boe, Pascal; Golinval, Jean-Claude et al.

2005 • In Smart Materials and Structures, 14 (1), p. 36-42

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/18988

DOI
10.1088/0964-1726/14/1/004

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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 :

Issue :

Pages :

36-42

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://stacks.iop.org/SMS/14/36

Available on ORBi :

since 18 August 2009

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80 (4 by ULiège)

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4 (1 by ULiège)

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Scopus citations^®

140

Scopus citations^®
without self-citations

134

OpenCitations

104

OpenAlex citations

138

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