Advanced data-driven fault detection in gas-to-liquid plants

Advanced data-driven fault detection in gas-to-liquid plants

<p dir="ltr">Fault detection is a critical part of process monitoring, where the objective is to flag unexpected operating behavior quickly and accurately. In this paper, a novel extension of the Generalized Likelihood Ratio charts is proposed, denoted as the Maximum Multivariate GLR...

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Bibliographic Details
Main Author: Nour Basha (21385547) (author)
Other Authors: Radhia Fezai (16869888) (author), Byanne Malluhi (22963447) (author), Khaled Dhibi (16891524) (author), Gasim Ibrahim (17032299) (author), Hanif A. Choudhury (1868542) (author), Mohamed S. Challiwala (14152839) (author), Hazem Nounou (16869900) (author), Nimir Elbashir (5244551) (author), Mohamed Nounou (3489386) (author)
Published: 2025
Subjects:
Engineering
Chemical engineering
Manufacturing engineering
Fault detection
Generalized Likelihood Ratio
Gas-to-liquid process
FischEr–Tropsch Synthesis
neural network
Kernel Principal Component Analysis
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