File(s) under permanent embargo
Causality analysis for root cause diagnosis in Fluid Catalytic Cracking unit
conference contribution
posted on 2023-05-23, 12:34 authored by Gharahbagheri, H, Imtiaz, S, Faisal KhanFaisal Khan, Ahmed, SPCA based monitoring have good fault detection capability, however it can only point to few variables that have contribution in occurrence of fault and it cannot recognize the main root. Since there is cause and effect relationship between different variables in a process, accordingly a network based on transfer entropy methods was constructed for each case to show causal effect between different variables and to see propagation path of fault. It was shown that PCA in combination with causality analysis based on network construction is a powerful tool for diagnosing the root cause of a fault in the process. In this paper the proposed methodology was applied to Fluid Catalytic Cracking unit as a case study.
History
Publication title
Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015Volume
48 (21)Editors
D MaquinPagination
838-843ISSN
2405-8963Department/School
Australian Maritime CollegePublisher
International Federation of Automatic ControlPlace of publication
The NetherlandsEvent title
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015Event Venue
Paris, FranceDate of Event (Start Date)
2015-09-02Date of Event (End Date)
2015-09-04Rights statement
Copyright 2015 IFACRepository Status
- Restricted