Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Publications Internationales >
Veuillez utiliser cette adresse pour citer ce document :
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/5954
|
Titre: | Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA |
Auteur(s): | Bounoua, Wahiba Bakdi, Azzeddine |
Mots-clés: | Fault detection and diagnosis Dynamic kernel PCA Fractal analysis Correlation dimension Intrinsic dimension |
Date de publication: | 2020 |
Editeur: | Elsevier |
Collection/Numéro: | Chemical Engineering Science Volume 229, 16 January 2021, 116099; |
Résumé: | A novel Dynamic Kernel PCA (DKPCA) method is developed for process monitoring in nonlinear dynamical systems. Classical DKPCA approaches still exhibit vague linearity assumptions to determine the number of principal components and to construct the dynamical structure. The optimal Static PCA (SPCA) and Dynamic PCA (DPCA) structures are constructed herein through the powerful theory of the nonlinear Fractal Dimension (FDim). While DKPCA offers a generic data-driven modelling of nonlinear dynamical systems, the fractal correlation dimension provides an intrinsic measure of the data complexity counting for the nonlinear dynamics and the chaotic behaviour. The proposed Fractal-based DKPCA (FDKPCA) integrates the two strategies to overcome SPCA/DPCA/DKPCA shortcomings, FDim allows verifying the degree of fitting and ensures optimal dimensionality reduction. The novel fault detection and diagnosis method is validated through seven applications using the Process Network Optimization (PRONTO) benchmark with real heterogeneous data, FDKPCA showed superior performance compared to contemporary approaches |
URI/URL: | https://www.sciencedirect.com/science/article/pii/S000925092030631X http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/5954 |
ISSN: | 0009-2509 |
Collection(s) : | Publications Internationales Publications Internationales
|
Fichier(s) constituant ce document :
|
Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.
|