A conceptual framework for semantic case-based safety analysis

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Volumn , Issue , 2011, Pages

  Daramola, Olawande ^a   Stålhane, Tor ^a   Moser, Thomas ^b   Biffl, Stefan ^b  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

case based reasoning; FMEA; HAZOP; natural language processing; ontology; requirements; Safety analysis

Indexed keywords

FMEA; HAZOP; NATURAL LANGUAGE PROCESSING; REQUIREMENTS; SAFETY ANALYSIS;

COMPUTATIONAL LINGUISTICS; EMBEDDED SYSTEMS; FACTORY AUTOMATION; FAILURE ANALYSIS; INDUSTRIAL APPLICATIONS; NATURAL LANGUAGE PROCESSING SYSTEMS; ONTOLOGY; SAFETY ENGINEERING; SECURITY SYSTEMS; SEMANTICS;

CASE BASED REASONING;

EID: 80655125700     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ETFA.2011.6058981     Document Type: Conference Paper

References (19)

1. Zhao, J. Cui, L., Zhao, L., Qui T., and Chen, B. (2009): Learning HAZOP Expert System by Case-Based Reasoning and Ontology, Computers and Chemical Engineering, 33(1), pp. 371-378.
2. Dittman, L., Rademacher, T., and Zelewski, S. (2004): Performing FMEA using Ontologies, In: The 18th international workshop on qualitative reasoning, North-western University, Evanston, Illinois, USA, August 2-4.
3. Smith, S., Harrison, M. (2005): Measuring Reuse in Hazard Analysis, Reliability Engineering and Systems Safety, 89(1), pp. 93-104. (Pubitemid 40583837)
4. Zhao, C., Bhushan, M., & Venkatasubramanian, V. (2005): PHASUITE: An automated HAZOP analysis tool for chemical processes Part I: Knowledge Engineering Framework. Process Safety and Environmental Protection, 83(B6), pp. 509-532. (Pubitemid 41768903)
5. Koldoner, J. (1992): An Introduction to Case-Based Reasoning, Artificial Intelligence Review. 6(1), pp. 3-34
6. Jurafsky, D. and Martin, J.H. (2008): Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics. 2nd edition. Prentice-Hall.
7. Dunjo, J., Fthenakis, V., Vilchez, J. And Arnaldos, J. (2009): Hazard and Operability Analysis. A Literature Review, Journal of Hazardous Materials, Doi:10.1016/j.hazmat.2009.08.076
8. Sahar, B., Ardi, S., Kazuhiko, S., Yoshiomi, M. and Hirotsugu, M. (2010): HAZOP Management System with Dynamic Visual Model Aid, American Journal of Applied Sciences, 7(7), pp. 943-948.
9. Molhanec, M., Mach, P., Mensah, D. (2010): The ontology based FMEA of Lead Free Soldering Process, In Proceedings of the IEEE 33rd International Spring Seminar on Electronics Technology, pp. 360-364, Warsar
10. Atamer, A. (2004) Comparison of FMEA and Field-Experience for a Turbofan Engine with Application to Case-Based Reasoning, In Proceedings of the IEEE, Aerospace Conference, pp. 3354-3360.
11. Cheng, Z. And Jia, X., Gao, P., and Wu, S. (2008): A Framework for Intelligent Reliability Centered Maintenance Analysis, Reliability Engineering and System Safety, 93(6), pp. 806-814. (Pubitemid 351305177)
12. Ebrahimipour, V., Rezaie, K., Shokravi, S. (2010): An Ontology Approach to Support FMEA Studies, Expert System with Applications, 37(1), pp. 671-677.
13. Stålhane T., Omoronyia, I., and Reichenbach, F., (2010), Ontology-guided requirements and safety analysis, Proceedings of Int. Conf. on Safety in Industrial Automation, Tampere, Finland.
14. Hull E., Jackson, K., Dick, K., Requirements Engineering, Springer, 2004.
15. Aamodt, A., & Plaza, E. (1994). Case-Based Reasoning: Foundational Issues. Methodological Variations, and System Approaches. Artificial Intelligence Communications, 7(1), pp. 39-59.
16. Pedersen, T., Pakhomov, S. V. S., Patwardhan, S., &Chute, C. (2007). Measure of Semantic Similarity and Relatedness in Biomedical Domain. Journal of Biomedical Informatics, 40(3), pp. 288-299. (Pubitemid 46720256)
17. Ferguson, A., Bridge, D., (2000): Generalised Weighting: A Generic Combining Form for Similarity Metrics, In Proceedings of the 11th Irish Conference on Artificial Intelligence & Cognitive Science (AICS'2000), J. Griffith and C. O'Riordan, Eds., pp. 169-179.
18. Daramola, J.O., Oladipupo, O.O. and Musa, A.G. (2010): A Fuzzy Expert System Tool for Personnel Recruitment, International Journal of Business Information Systems, Inderscience, Vol. 6 No.4. [444-462].
19. Salim M.D, Villavicencio A., Timmerman M.A., "A Method for Evaluating Expert System Shells for Classroom Instruction", Journal of Industrial Technology, Vol. 19(1), 2002