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dc.creatorVasquez, John William
dc.creatorPérez-Zúñiga, Gustavo
dc.creatorSotomayor-Moriano, Javier
dc.creatorMuñoz, Yecid A.
dc.creatorOspino, A.
dc.description.abstractIndustrial plants, especially on mining, metal processing, energy and chemical/petrochemical processes require integrated management of all the events that may cause accidents and translate into alarms. Process alarm management can be formulated as an eventbased pattern recognition problem in which temporal patterns are used to characterize different typical situations, particularly at startup and shutdown stages. In this paper, a new layer based on a diagnosis process is proposed over the typical layers of protection in industrial processes. Considering the alarms and the actions of the standard operating procedure as discrete events, the diagnosis step relies on situation recognition to provide the operators with relevant information about the failures inducing the alarm flow. The new concept of super alarms is based on a methodology with a diagnosis step that permits generate these types of superior alarms. For example, the Chronicle Based Alarm Management (CBAM) methodology involves different techniques to take the hybrid aspect and the standard operational procedures of the concerned processes into
dc.rightsCC0 1.0 Universal*
dc.subjectAlarm managementspa
dc.subjectProtection layersspa
dc.subjectSuper alarmsspa
dc.titleNew concept of safeprocess based on a fault detection methodology: super alarmsspa
dcterms.referencesAgudelo, C. (2015). Integraci´on de t´ecnicas y las secuencias de alarmas para la detecci´on y el diagnostico de fallos. Doctoral Thesis, Universidad Politecnica De Valencia -
dcterms.referencesAstolfi, A. and Praly, L. (2006). Global complete observability and output- to-state stability imply the existence of a globally convergent observer. Mathematics of Control Signals and Systems, Vol:18, ISSN:0932-4194,
dcterms.referencesBayoudh, M., Trav´e-Massuy`es, L., and Olive, X. (2006). Hybrid systems diagnosability by abstracting faulty continuous dynamics. In Proc. of the 17th International Workshop on Principles of Diagnosis, pages 915,
dcterms.referencesBeebe, D., Ferrer, S., and Logerot, D. (2013). The connection of peak alarm rates to plant incidents and what you can do to minimize. Process Safety
dcterms.referencesChen, Y. and Lee, J. (2011). Autonomous mining for alarm correlation patterns based on time-shift similarity clustering in manufacturing system. 2011 IEEE International Conference on Prognostics and Health
dcterms.referencesDing, S. (2008). Model-based fault diagnosis techniques design schemes, algorithms, and tools. ISBN 978-3-54076303-1. Springer
dcterms.referencesFernandez, I., Camacho, A., Gasco, C., Macias, A., and M.A. Martin, G. Reyes, J.R. (2012). Seguridad funcional en instalaciones de proceso: sistemas, instrumentados de seguridad y an´alisis
dcterms.referencesEdiciones D´ıaz de Santos, S.A. Garcia, E., Agudelo, C., and Morant, F. (2012). Secuencias de alarmas para detecci´on y diagn´ostico de fallos. Universidad Politcnica de Valencia, 460022 Spain. 3er Congreso internacional de ingeniera mecatrnica. UNAB
dcterms.referencesHabibi, E. and Hollifiled, B. (2006). Alarm systems greatly affect offshore facilities amid high oil prices. World Oil, septiembre de 2006, pgs.
dcterms.referencesHollender, M., Skovholt, T., and Evans, J. (2016). Holistic alarm management throughout the plant lifecycle. In 2016 Petroleum and Chemical Industry Conference Europe (PCIC Europe), 1–6. doi: 10.1109/
dcterms.referencesKoscielny, J.M. and Bartys, M. (2015). The requirements for a new layer in the industrial safety systems. IFAC-PapersOnLine, 48(21), 1333 – 1338. doi: 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS
dcterms.referencesLew, J., Juang, J., and Keel, H. (1994). Quantification of parametric uncertainty via an interval model. Journal of Guidance Control and Dynamics - J GUID CONTROL DYNAM. 01/1994; 17(6)
dcterms.referencesMagni, L., Scattolini, R., and Rossi, C. (2000). A fault detection and isolation method for complex industrial systems. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans ( Volume: 30, Issue: 6, Nov 2000).spa
dcterms.referencesPalomeque, D. (2005). Enfoque integral y herramientas de gestin. Petrotecnia, Vol 46, pp.
dcterms.referencesPatton, R.J. and Chen, J. (1997). Observer-based fault detection and isolation: robustness and applications. Control Engineering Practice, vol. 5, no. 5, pp.
dcterms.referencesRodrigo, V., Chioua, M., Hagglund, T., and Hollender, M. (2016). Causal analysis for alarm flood reduction. IFAC-PapersOnLine, 49(7), 723 – 728. doi: 11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems DYCOPS-CAB
dcterms.referencesSarmiento, H. and Isaza, C. (2012). Identification and estimation of functional states in drinking water plant based on fuzzy clustering. 22st European Symposium on Computer Aided Process Engineering. pp 1317 to
dcterms.referencesVasquez, J.W. (2017). Chronicle based alarm management. Doctoral thesis of Automatic Control Engineering. INSA
dcterms.referencesVasquez, J., Prada, J., Agudelo, C., and Jimenez, F. (2013). Analysis of alarm management in startups and shutdowns for oil refining processes. IEEE Explorer. Engineering Mechatronics and Automation (CIIMA), 2013 II International Congress,
dcterms.referencesVasquez, J., Trav´e-Massuy`es, L., Subias, A., Jimenez, F., and Agudelo, C. (2015). Chronicle based alarm management in startup and shutdown stages. International Workshop on Principles of Diagnosis (DX-2015),
dcterms.referencesVasquez, J., Trav´e-Massuy`es, L., Subias, A., Jimenez, F., and Agudelo, C. (2016). Alarm management based on diagnosis. 4th IFAC International Conference on Intelligent Control and Automation Sciences (ICONS 2016),
dcterms.referencesVasquez, J., Trav´e-Massuy`es, L., Subias, A., Jimenez, F., and Agudelo, C. (2017). Enhanced chronicle learning for process supervision. 20th IFAC World Congress, IFACPapersOnLine. Volume 50, Issue 1, July 2017, Pages
dcterms.referencesVries, R. (1990). An automated methodology for generating a fault tree. IEEE Transactions on
dcterms.referencesYang, F. and Xiao, D. (2012). Progress in root cause and fault propagation analysis of large scale industrial processes. Journal of Control Science and Engineering. Volume 2012 (2012), Article ID 478373, 10
dcterms.referencesZhu, J., Shu, Y., Zhao, J., and Yang, F. (2013). A dynamic alarm management strategy for chemical process transitions. Journal of Loss Prevention in the Process Industries. Volume 30, July 2014, Pages

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