Data-Driven Fault Diagnostics for Industrial Processes: An Application to Penicillin Fermentation Process

Data-Driven Fault Diagnostics for Industrial Processes: An Application to Penicillin Fermentation Process

We consider the problem of fault detection and isolation for the penicillin fermentation process. A penicillin fermentation process is a highly complex and nonlinear dynamic process with batch processing. A data-driven approach is utilized for fault diagnostics due to the availability of huge batch...

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Bibliographic Details
Main Authors: Muhammad Asim Abbasi, Abdul Qayyum Khan, Ghulam Mustafa, Muhammad Abid, Aadil Sarwar Khan, Nasim Ullah
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Data-driven
fault diagnostics
process monitoring
subspace identification
just-in-time learning
penicillin fermentation process
Online Access:https://ieeexplore.ieee.org/document/9420045/

Internet

https://ieeexplore.ieee.org/document/9420045/

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