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Sensor Fault Detection and Fault Tolerant Control of a Crude Distillation Unit

Lookup NU author(s): Dr Sulaiman LawalORCiD, Dr Jie ZhangORCiD


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© 2016 Elsevier B.V. Real-time sensor fault detection and fault tolerant control of a crude distillation unit is presented in this work. Dynamic principal component analysis is used to detect and identify faults on-line. When a sensor fault associated with a controlled variable is identified, an on-line soft-sensor built using dynamic principal component regression is used for feedback control. This is achieved through fault tolerant inferential controller which accommodate the sensor fault and maintain the integrity of the associated control loop in an online real-time manner. The specified products quality variables for the crude distillation unit, such as ASTM cut-points, flash point and viscosity at 210 F are maintained. Application results on the simulated crude distillation unit demonstrate the effectiveness of the proposed approach.

Publication metadata

Author(s): Lawal SA, Zhang J

Publication type: Book Chapter

Publication status: Published

Book Title: Computer Aided Chemical Engineering

Year: 2016

Volume: 38

Pages: 2091-2096

Online publication date: 25/06/2016

Acceptance date: 02/04/2016

Publisher: Elsevier B.V.


DOI: 10.1016/B978-0-444-63428-3.50353-2

Library holdings: Search Newcastle University Library for this item

ISBN: 9780444634283