On the application of recursive principal component analysis method to fault detection and isolation

I Jaffel; O Taouali; I Elaissi; H Massaoud

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On the application of recursive principal component analysis method to fault detection and isolation

I Jaffel, O Taouali, I Elaissi and H Massaoud

The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.218

01/04/2015

Abstract

Conference Title: 2015 4th International Conference on Systems and Control (ICSC) Conference Start Date: 2015, April 28 Conference End Date: 2015, April 30 Conference Location: Sousse, Tunisia This communication suggests an extension of an online fault detection method [1] to fault isolation. This proposed method is titled Recursive Principal Component Analysis based on First Order Perturbation RPCA-FOP and it is based on first order perturbation theory (FOP) and partial PCA models where the eigenvalues and eigenvectors of the covariance matrix are updated taking into account the effect of new acquired data as a perturbation.

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Title: On the application of recursive principal component analysis method to fault detection and isolation
Creators - without role: I Jaffel
O Taouali
I Elaissi
H Massaoud
Publication Details: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.218
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9933863408331
Academic Unit: University of Tabuk
Language: English
Resource Type: Conference proceeding