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

• Autorzy: Guerfel Mohamed , Ben Aicha Anissa , Belkhiria Kamel , Messaoud Hassani

Identyfikatory

DOI

10.24425/bpasts.2024.150812

• Języki publikacji: EN

Abstrakty

EN

This paper proposes a new principal component analysis (PCA) scheme to perform fault detection and identification (FDI) for systems affected by process faults. In this scheme, a new modeling method which maximizes the model sensitivity to a certain process fault type is proposed. This method uses normal operating or known faulty data to build the PCA model and other faulty data to fix its structure. A new structuration method is proposed to identify the process fault. This method computes the common angles between the residual subspaces of the different modes. It generates a reduced set of detection indices that are sensitive to certain process faults and insensitive to others. The proposed FDI scheme is successfully applied to the Tenessee Eastman process (TEP) supposedly affected by several process faults.

Słowa kluczowe

EN

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

PL

modelowanie PCA; błąd procesu; FDI; proces Tennessee Eastman; kąt główny; reszta strukturalna

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2024
• Tom: Vol. 72, nr 5
• Strony: art. no. e150812
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Guerfel Mohamed

• Higher Institute of Applied Science and Technology of Sousse (ISSATSo), University of Sousse, Tunisia

• https://orcid.org/0009-0008-7232-9629

autor

Ben Aicha Anissa

• LARATSI, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia
• LAS2E, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia

• https://orcid.org/0000-0002-7705-9508

autor

Belkhiria Kamel

• LAS2E, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia

autor

Messaoud Hassani

• LARATSI, National Engineering School of Monastir (ENIM), University of Monastir, Tunisia

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