A situation risk awareness approach for process systems safety

Safety Science

Volumn 64, Issue , 2014, Pages 173-189

  Naderpour, Mohsen ^a   Lu, Jie ^a   Zhang, Guangquan ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Bayesian networks; Process systems safety; Risk assessment; Situation assessment; Situation awareness

Indexed keywords

AUTOMATION; BAYESIAN NETWORKS; RISK PERCEPTION; SAFETY ENGINEERING;

CHEMICAL SAFETY BOARDS; FUZZY PARTITIONING; HARDWARE FAILURES; INFORMATION FLOWS; PHYSICAL ENVIRONMENTS; PROCESS SYSTEMS SAFETIES; SITUATION ASSESSMENT; SITUATION AWARENESS;

RISK ASSESSMENT;

ARTICLE; AUTOMATION; AWARENESS; BAYES THEOREM; CHEMICAL SAFETY; COGNITION; DECISION MAKING; ENVIRONMENT; FUZZY SYSTEM; HARM REDUCTION; HAZARD ASSESSMENT; MATHEMATICAL ANALYSIS; OCCUPATIONAL SAFETY; PERCEPTION; PRIORITY JOURNAL; PROCESS SYSTEM SAFETY; PROCESS TECHNOLOGY; SAFETY; SITUATION RISK AWARENESS;

EID: 84892544396     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2013.12.005     Document Type: Article

References (60)

1. Baader, F., Bauer, A., Baumgartner, P., Cregan, A., Gabaldon, A., Ji, K., Lee, K., Rajaratnam, D., Schwitter, R., 2009. A novel architecture for situation awareness systems. In: The 18th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, Oslo, Norway, July 6-10.
2. Bednarski M., Cholewa W., Frid W. Identification of sensitivities in Bayesian networks. Eng. Appl. Artif. Intell. 2004, 17:327-335.
3. Bobbio A., Portinale L., Minichino M., Ciancamerla E. Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. Rel. Eng. Syst. Safe. 2001, 71:249-260.
4. Bose B. Expert system, fuzzy logic, and neural network applications in power electronics and motion control. Proce. IEEE 1994, 82:1303-1323.
5. Brannon N.G., Seiffertt J.E., Draelos T.J., Wunsch D.C. Coordinated machine learning and decision support for situation awareness. Neural Networks 2009, 22:316-325.
6. CCPS, 1989. Guidelines for Process Equipment Reliability Data with Data Tables. Center for Chemical Process Safety of the American Institute of Chemical Engineers.
7. Chai H., Wang B. A hierarchical situation assessment model based on fuzzy Bayesian network. Artificial Intelligence and Computational Intelligence 2011, 444-454. Springer-Verlag, Berlin Heidelberg. H. Deng, D. Miao, J. Lei, F. Wang (Eds.).
8. Chandana, S., Leung, H., 2008. Distributed situation assessment for intelligent sensor networks based on hierarchical fuzzy cognitive maps. In: IEEE International Conference on Systems, Man and Cybernetics, Suntec, Singapore, October 12-15.
9. CSB, 2007. Mixing and heating a flammable liquid in an open top tank, Washington, DC.
10. CSB, 2008. Confined vapor cloud explosion, Washington, DC.
11. Das, S., Grey, R., Gonsalves, P., 2002. Situation assessment via Bayesian belief networks. In: The Fifth International Conference on Information Fusion, Maryland, USA, July 8-11.
12. Dekker S.W.A. On the epistemology and ethics of communicating a Cartesian consciousness. Saf. Sci. 2013, 56:96-99.
13. Endsley M. Measurement of situation awareness in dynamic systems. Hum. Factors: J. Hum. Fact. Ergon. Soc. 1995, 65-84.
14. Endsley M.R. Toward a theory of situation awareness in dynamic systems. Hum. Factors 1995, 37:32-64.
15. Endsley, M.R., 1997. Supporting situation awareness in aviation systems. In: The IEEE International Conference on Systems, Man and Cybernetics, Orlando, USA, October 12-15.
16. Endsley, M.R., 2006. Situation awareness, In: Salvendy, G. (Ed.), Handbook of Human Factors and Ergonomics. John Wiley and Sons, pp. 528-542.
17. Endsley M.R., Garland D.J. Situation Awareness: Analysis and Measurement 2000, Lawrence Erlbaum, Mahwah, NJ.
18. Farahbod, R., Avram, V., Glasser, U., Guitouni, A., 2011. Engineering situation analysis decision support systems. In: 2011 European Intelligence and Security Informatics Conference (EISIC), Athens, Greece, September 12-14.
19. Garcia-Herrero S., Mariscal M.A., Garcia-Rodrãguez J., Ritzel D.O. Working conditions, psychological/physical symptoms and occupational accidents, Bayesian network models. Safety Sci. 2012, 50:1760-1774.
20. Gorman J.C., Cooke N.J., Winner J.L. Measuring team situation awareness in decentralized command and control environments. Ergonomics 2006, 49:1312-1325.
21. Hessami A. A systems framework for strategic approach to risk in e-business. Int. J. Inform. Sci. Manage. 2010, 89-121.
22. Hsieh M.-H., Hwang S.-L., Liu K.-H., Liang S.-F.M., Chuang C.-F. A decision support system for identifying abnormal operating procedures in a nuclear power plant. Nucl. Eng. Des. 2012, 249:413-418.
23. Jones B., Jenkinson I., Yang Z., Wang J. The use of Bayesian network modelling for maintenance planning in a manufacturing industry. Reliab. Eng. Syst. Safe. 2010, 95:267-277.
24. Jones R., Connors E., Mossey M., Hyatt J., Hansen N., Endsley M. Using fuzzy cognitive mapping techniques to model situation awareness for army infantry platoon leaders. Computat. Math. Org. Theor. 2011, 17:272-295.
25. Jones, R.E.T., Connors, E.S., Endsley, M.R., 2009. Incorporating the human analyst into the data fusion process by modeling situation awareness using fuzzy cognitive maps. In: The 12th International Conference on Information Fusion, Washington, USA, July 6-9.
26. Jou Y.-T., Yenn T.-C., Lin C.J., Tsai W.-S., Hsieh T.-L. The research on extracting the information of human errors in the main control room of nuclear power plants by using performance evaluation matrix. Saf. Sci. 2011, 49:236-242.
27. Kaber D.B., Endsley M.R. Team situation awareness for process control safety and performance. Process Saf. Prog. 1998, 17:43-48.
28. Khakzad N., Khan F., Amyotte P. Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network. Process Saf. Environ. Prot. 2012, 91:46-53.
29. Kim M.C., Seong P.H. An analytic model for situation assessment of nuclear power plant operators based on Bayesian inference. Reliab. Eng. Syst. Safe. 2006, 91:270-282.
30. Kim M.C., Seong P.H. A computational method for probabilistic safety assessment of I&C systems and human operators in nuclear power plants. Reliab. Eng. Syst. Safe. 2006, 91:580-593.
31. Kirlik A., Strauss R. Situation awareness as judgment I: statistical modeling and quantitative measurement. Int. J. Ind. Ergon. 2006, 36:463-474.
32. Kokar M.M., Matheus C.J., Baclawski K. Ontology-based situation awareness. Inform. Fusion 2009, 10:83-98.
33. Laboratory, D.S., 1998. SMILE (Structural Modeling, Inference, and Learning Engine). University of Pittsburgh.
34. Li P.c., Chen G.h., Dai L.c., Zhang L. A fuzzy Bayesian network approach to improve the quantification of organizational influences in HRA frameworks. Saf. Sci. 2012, 50:1569-1583.
35. Lu J., Liu B., Zhang G., Hao Z., Xiao Y. A situation assessment approach using support vector machines as a learning tool. Int. J. Nucl. Knowl. Manage. 2008, 3:82-97.
36. Ma, J., Zhang, G., 2008. Team Situation Awareness measurement using group aggregation and implication operators. In: The 3rd International Conference on Intelligent System and Knowledge Engineering (ISKE), Xiamen, China, November 17-19.
37. Mamdani, E.H., 1977. Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans. Comput C-26, 1182-1191.
38. Markowski A.S., Mannan M.S., Kotynia A., Pawlak H. Application of fuzzy logic to explosion risk assessment. J. Loss Prev. Process Ind. 2011, 24:780-790.
39. Melchers R.E. On the ALARP approach to risk management. Reliab. Eng. Syst. Safe. 2001, 71:201-208.
40. Murphy K.P. Dynamic Bayesian networks: representation, inference and learning 2002, University of California, Berkeley.
41. Naderpour, M., Lu, J., 2012a. A fuzzy dual expert system for managing situation awareness in a safety supervisory system. In: The 21th IEEE International Conference on Fuzzy Systems, Brisbane, Australia, June10-15.
42. Naderpour, M., Lu, J., 2012b. Supporting situation awareness using neural network and expert system. In: The 10th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making, Istanbul, Turkey, August 26-29.
43. Naderpour, M., Lu, J., 2013. A human situation awareness support system to avoid technological disasters, In: Vitoriano, B.a., Montero, J., Ruan, D. (Eds.), Decision Aid Models for Disaster Management and Emergencies. Atlantis Press, pp. 307-325.
44. Nguyen, N., Kowalczyk, R., Chen, S.-M., Chmielewski, M., 2009. Ontology applications for achieving situation awareness in military decision support systems. In: The first International Conference on Computational Collective Intelligence, Semantic Web, Social Networks & Multiagent Systems, Wroclaw, Poland, October 5-7.
45. Niu L., Lu J., Zhang G. Cognition-Driven Decision Support for Business Intelligence: Models, Techniques 2009, Systems and Applications, Springer-Verlag, Berlin Heidelberg.
46. Niu L., Lu J., Zhang G., Wu D. FACETS: a cognitive business intelligence system. Inf. Syst. 2013, 38:835-862.
47. OREDA, 2002. Offshore Reliability Data Handbook. SINTEF Industrial Management.
48. Oztekin, A., Luxhoj, J., 2011. Complex risk and uncertainty modeling for emergent aviation systems: An application, In: Pham, H. (Ed.), Safety and Risk Modeling and Its Applications. Springer-Verlag London, pp. 263-298.
49. Pollino C.A., Woodberry O., Nicholson A., Korb K., Hart B.T. Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environ. Model. Softw. 2007, 22:1140-1152.
50. Pridmore J.L. Designing for the Improvement of Operator Situation Awareness in Automation Systems 2007, Auburn University, Alabama, US.
51. Salmon P.M., Stanton N.A. Situation awareness and safety: contribution or confusion? Situation awareness and safety editorial. Saf. Sci. 2013, 56:1-5.
52. Salmon P.M., Stanton N.A., Walker G.H., Jenkins D., Ladva D., Rafferty L., Young M. Measuring situation awareness in complex systems: comparison of measures study. Int. J. Ind. Ergon. 2009, 39:490-500.
53. Sandom, C., 2001. Situation awareness, In: Noyes, J., Bransby, M. (Eds.), People in Control: Human Factors in Control Room Design IEE Publishing, pp. 51-67.
54. Shapiro A.F. Fuzzy random variables. Insur.: Math. Econ. 2009, 44:307-314.
55. Shi, Z.-F., Liu, H.-Y., 2009. Intelligent situation fusion assessment using Bayesian networks. In: The Second International Conference on Information and Computing Science Manchester, UK, May 21-22.
56. Sneddon A., Mearns K., Flin R. Stress, fatigue, situation awareness and safety in offshore drilling crews. Saf. Sci. 2013, 56:80-88.
57. Stanton N. Human Factors Methods: A Practical Guide for Engineering and Design 2005, Ashgate, Aldershot, UK.
58. Stanton N.A., Chambers P.R.G., Piggott J. Situational awareness and safety. Saf. Sci. 2001, 39:189-204.
59. Su X., Bai P., Du F., Feng Y. Application of Bayesian networks in situation assessment. Intelligent Computing and Information Science 2011, 643-648. Springer-Verlag, Berlin Heidelberg. R. Chen (Ed.).
60. Zadeh L.A. Fuzzy sets. Inf. Control 1965, 8:338-353.