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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Nour Basha (21385547) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	Engineering Chemical engineering Manufacturing engineering Fault detection Generalized Likelihood Ratio Gas-to-liquid process FischEr–Tropsch Synthesis neural network Kernel Principal Component Analysis
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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