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{"references": ["A. Dheedan and Y. Papadopoulos, \"Multi-Agent Safety Monitoring\nSystem,\" in Proc. of 10th IFAC Workshop on Intelligent Manufacturing Systems (IMS-10), Portugal, Lisbon, 1-2 July 2010, pp. 93-98.", "X. Ren, H. A. Thompson, and P. J. Fleming, \"An agent-based system for\ndistributed fault diagnosis,\" International Journal of Knowledge-Based\nand Intelligent Engineering Systems, vol. 10, no. 5, 2006, pp. 319-335.", "Y. S. Ng, and R. Srinivan, \"Multi-agent based collaborative fault\ndetection and identification in chemical processes,\" Engineering Applications of Artificial Intelligence, vol. 23, no. 6, 2010, pp. 934-949.", "A. A. Mohamed and O. Basir, \"An Adaptive Multi-Agent Approach for\nDistributed Alarm Correlation and Fault Identification,\" in Proc. Parallel and Distributed Computing and Networks (PDCN 2010),\nInnsbruck, Austria, 2010.", "M. Rollo, P. Novak, J. Kubalik, and M. Pechoucek, \"Alarm Root Cause\nDetection System,\" in Camarinha-Matos, L. M., editor, Emerging\nSolutions for Future Manufacturing Systems. New York: Springer, 2004,\npp. 109-116.", "K. H Cho and J. T. Lim, \"Multiagent Supervisory Control for Anti fault\nPropagation in Serial Production Systems,\", IEEE Transactions on\nIndustrial Electronics, vol. 48, no. 2, April, 2001, pp. 460-466.", "M. Mendes, B. Santos, and J. Costa, \"A matlab/Simulink multi-agent\ntoolkit for distributed networked fault tolerant control systems,\" Proc.\n7th IFAC symposium on Fault Detection, Supervision and Safety of\nTechnical Processes, Barcelona, Spain, 30 June - 3 July 2009, pp. 1073-1078.", "BEA, \"Safety investigation into the accident on 1 June 2009 to the\nAirbus A330-203, flight AF447,\" (online), France: Bureau of Investigations and Analysis for the safety of civil aviation (BEA), 2011.\nAvailable:\nhttp://www.bea.aero/fr/enquetes/vol.af.447/note29juillet2011.en.pdf\n(Accessed 2nd August 2011).", "HSE, \"Better alarm handling, HSE Information Sheet\" (online). UK:\nHealth and Safety Executive, chemical sheet No 6, 2000. Available:\nhttp://www.hse.gov.uk/pubns/chis6.pdf, (Accessed 13th February 2011)\n[10] Y. Papadopoulos, \"Model-based system monitoring and diagnosis of\nfailures using state-charts and fault trees,\" Reliability Engineering and\nSystem Safety, vol. 8, no. 3, 2003, pp. 325-341.\n[11] Wallace C. J., Jajn G. J. and Mcarthur S. D. J., 2011. Multi-agent system\nfor nuclear condition monitoring. In Proc. 2nd International Workshop\non Agent Technologies for Energy System (ATES-11), a workshop of the 10th International Conference of Agent and Multi-agent System\n(AAMAS-11), Taipei, Taiwan, 2nd of May 2011.\n[12] A. F. Sayda, \"Multi-agent systems for industrial applications: design,\ndevelopment, and challenges,\" In: Alkhateeb F., Al Maghayreh E., Abu\nDoush L., ed. Multi-Agent Systems - Modeling, Control, Programming,\nSimulations and Applications. Rijeka, Croatia: InTech, 2011, pp. 469-494.\n[13] E. Mangina, \"Intelligent agent-based monitoring platform for applications in engineering,\" International Journal of Computer Science\n& Applications, vol. 2 no. 1, pp. 38-48.\n[14] A. Dheedan and Y. Papadopoulos, \"Model-Based Distributed On-line\nSafety Monitoring,\" in Proc. The Third International Conf. on Emerging\nNetwork Intelligence (EMERGING 2011), Lisbon, Portugal, November\n20-25, 2011, pp. 1-7.\n[15] H. P. Feiler, P. D. Gluch, J. J. Hudak, \"The Architectural Analysis and Design Language (AADL): An Introduction,\" USA: Software\nEngineering Institute and Carnegie Mellon University, CMU/SEI-2006-\nTN-001, 2006.\nAvailable:\nhttp://i12www.ira.uka.de/~engelc/lehre/seminarSS07/material/aadlIntro.\npdf (Accessed November 7th 2010).\n[16] H. P. Feiler and A. Rugina, \"Dependability Modelling with the\nArchitecture Analysis and Design Language (AADL)\" (online), USA:\nSoftware Engineering Institute and Carnegie Mellon University, CMU/SEI-2007-TN-043, 2007.Available: ftp://ftp.sei.cmu.edu/pub/documents/07.reports/07tn043.pdf\n(Accessed November 7th 2010).\n[17] M. Breen. Experience of using a lightweight formal specification\nmethod for a commercial embedded system product line. Requirements\nEngineering Journal, vol. 10, no. 2, 2005, pp. 161-172.\n[18] S. D. J. McArthur, E. M. Davidson, J. A. Hossack, J. R. McDonald,\n\"Automating power system fault diagnosis through multi-agent system\ntechnology,\" in Proc. 37th Annual Hawaii International Conference on\nSystem Sciences (HICSS'04), Big Island, Hawaii, 5-8 Jan 2004, pp. 1-4.\n[19] L. Padgham, and M. Winikoff, Developing Intelligent Agent Systems: a\nPractical Guide. UK, Chichester:Wiley, 2004.\n[20] R. Bordini, J. Hubner, and M. Woorldridge, Programming Multi-Agent\nSystems in AgentSpeak using Jason. UK, Chichester: Wiley, 2007."]}
Operational safety of critical systems, such as nuclear power plants, industrial chemical processes and means of transportation, is a major concern for system engineers and operators. A means to assure that is on-line safety monitors that deliver three safety tasks; fault detection and diagnosis, alarm annunciation and fault controlling. While current monitors deliver these tasks, benefits and limitations in their approaches have at the same time been highlighted. Drawing from those benefits, this paper develops a distributed monitor based on semi-independent agents, i.e. a multiagent system, and monitoring knowledge derived from a safety assessment model of the monitored system. Agents are deployed hierarchically and provided with knowledge portions and collaboration protocols to reason and integrate over the operational conditions of the components of the monitored system. The monitor aims to address limitations arising from the large-scale, complicated behaviour and distributed nature of monitored systems and deliver the aforementioned three monitoring tasks effectively.
fault controlling, Alarm annunciation, fault detection and diagnosis
fault controlling, Alarm annunciation, fault detection and diagnosis
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