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Dynamic risk assessment and fault detection using principal component analysis


Zadakbar, O and Imtiaz, S and Khan, F, Dynamic risk assessment and fault detection using principal component analysis, Industrial and Engineering Chemistry Research, 52, (2) pp. 809-816. ISSN 0888-5885 (2013) [Refereed Article]

DOI: doi:10.1021/ie202880w


A methodology to calculate process risk in combination with a data based fault detection method is proposed in this paper. The proposed approach aims to identify and screen the faults which are not safety concerns and also to dynamically update process risk at each sampling instant. The approach is built upon principal component analysis (PCA) combined with a quantitative operational risk assessment model. Through this approach, a warning system is activated only when the risk of operation exceeds the acceptable threshold. Combining PCA with the risk assessment model makes this approach more robust against false alarms. Application of this new risk based approach provides early warnings and early activation of safety systems prior to the fault impacting the system. This method has more power in discerning between operational deviations and abnormal conditions which potentially may cause an unwanted situation (an accident). © 2012 American Chemical Society.

Item Details

Item Type:Refereed Article
Keywords:Abnormal conditions; Assessment models; Detection methods; Dynamic risk assessments; Early warning; False alarms; Operational risks; Risk based approaches; Safety concerns; Principal component analysis; Risk assessment
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Ocean engineering
Objective Division:Mineral Resources (Excl. Energy Resources)
Objective Group:Environmentally sustainable mineral resource activities
Objective Field:Environmentally sustainable mineral resource activities not elsewhere classified
UTAS Author:Khan, F (Professor Faisal Khan)
ID Code:94528
Year Published:2013
Web of Science® Times Cited:29
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2014-09-11
Last Modified:2015-01-27

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