Title

New PCA-based scheme for process fault detection and identification. Application to the Tennessee Eastman process

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2024

Volume

72

Issue

5

Affiliation

Guerfel, Mohamed : Higher Institute of Applied Science and Technology of Sousse (ISSATSo), University of Sousse, Tunisia ; Ben Aicha, Anissa : LARATSI, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia ; Ben Aicha, Anissa : LAS2E, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia ; Belkhiria, Kamel : LAS2E, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia ; Messaoud, Hassani : LARATSI, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia

Authors

Guerfel, Mohamed ; Ben Aicha, Anissa ; Belkhiria, Kamel ; Messaoud, Hassani

Keywords

PCA modeling ; process fault ; FDI ; principal angles ; structured residuals ; Tennessee Eastman process

Divisions of PAS

Nauki Techniczne

Coverage

e150812

Date

2024.06.14

Type

Article

Identifier

DOI: 10.24425/bpasts.2024.150812