Multivariate Statistical Analysis for Detection and Identification of Faulty Sensors Using Latent Variable Methods

Abstract:

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In this paper, three latent variable methods are implemented in a multivariate statistical analysis scheme for detecting and identifying faults in a multi-sensor network. The proposed methods are applied to a sensor network monitoring a MDOF dynamical system and the results are presented, compared and discussed.

Info:

Periodical:

Edited by:

Pietro VINCENZINI and Fabio CASCIATI

Pages:

501-507

DOI:

10.4028/www.scientific.net/AST.56.501

Citation:

M. R. Hernandez-Garcia and S. F. Masri, "Multivariate Statistical Analysis for Detection and Identification of Faulty Sensors Using Latent Variable Methods", Advances in Science and Technology, Vol. 56, pp. 501-507, 2008

Online since:

September 2008

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$35.00

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