An integrated approach to analyse system behaviour using knowledge-based approximate reasoning methodologies

International Journal of Reliability and Safety

Volumn 1, Issue 3, 2007, Pages 313-338

  Kumar Sharma, Rajiv ^a   Kumar, Dinesh ^b   Kumar, Pradeep ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

decision making; fuzzy theory; petri nets; PNs; system

Indexed keywords

EID: 84867634480     PISSN: 1479389X     EISSN: 14793903     Source Type: Journal    
DOI: 10.1504/ijrs.2007.014967     Document Type: Article

References (53)

1. Adamyan, A and He, D. (2002) ‘Analysis of sequential failures for assessment of reliability and safety of manufacturing systems’, Reliability Engineering and System Safety, Vol. 76, pp.227–236.
2. Adamyan, A. and He, D. (2004) ‘System failure analysis through counters of Petri net models’, Quality and Reliability Engineering International, Vol. 20, No. 4, pp.317–335.
3. Albert, W., Yao, L., Chi, S.C. and Chen, J.H. (2003) ‘An improved grey-based approach for electricity demand forecasting’, Electric Power Systems Research, Vol. 67, No. 3, pp.217–224.
4. Aneziris, O.N. and Papazoglou, I.A. (2004) ‘Fast markovian method for dynamic safety analysis of process plants’, Journal of Loss Prevention in the Process Industries, Vol. 17, No. 1, pp.1–8.
5. Aven, T. and Kvaløy, J.T. (2002) ‘Implementing the bayesian paradigm in risk analysis’, Reliability Engineering and System Safety, Vol. 78, pp.195–201.
6. Bowles, J.B. (2003) ‘An assessment of RPN prioritization in a failure modes effects and criticality analysis’, Proceedings of the Annual Reliability and Maintainability Symposium, IEEE, pp.380–386.
7. Bowles, J.B. and Pelaez, C.E. (1995) ‘Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis’, Reliability Engineering and System Safety, Vol. 50, pp.203–213.
8. Bai, X. and Asgarpoor, S. (2004) ‘Fuzzy based approaches to substation reliability evaluation’, Electric Power Systems Research, Vol. 69, pp.197–204.
9. Cai, K.Y. (1996) ‘System failure engineering and fuzzy methodology. An introductory overview’, Fuzzy Sets and Systems, Vol. 83, pp.113–133.
10. Chang, C.L., Wei, C.C. and Lee, Y.H. (1999) ‘Failure mode and effect analysis using fuzzy and grey approaches’, Kybernets, Vol. 28, No. 9, pp.1072–1080.
11. Chen, S.H. (1985) ‘Ranking fuzzy numbers with maximizing and minimizing set’, Fuzzy Sets and Systems, Vol. 17, No. 2, pp.113–129.
12. Chen, S., Li, Z. and Xu, Q. (2006) ‘Grey target theory based equipment condition monitoring and wear mode recognition’, Wear, Vol. 260, Nos. 4-5, pp.438–449.
13. Ciardo, G., German, R. and Lindermann, C. (1994) ‘A characteristics of the stochastic process underlying stochastic Petri nets’, IEEE Transactions Software Engineering, Vol. 20, pp.506–515.
14. Connor, P.D.T. (2002) Practical Reliability Engineering, London: Heyden.
15. Coutinho, J.S. (1964) ‘Failure-effect analysis’, Transactions of the New York Academy of Sciences, Vol. 26, pp.564–585.
16. Deng, J. (1986) ‘The application of grey system to quantitative investment strategy’, Journal of Investigative Reform, p.21.
17. Ebeling, C. (2001) An Introduction to Reliability and Maintainability Engineering, NY: Tat McGraw-Hill.
18. Fonseca, D.J. and Knapp, G.M. (2001) ‘A fuzzy scheme for failure mode screening fuzzy sets and systems’, Vol. 121, pp.453–457.
19. German, R. (2000) Performance Analysis of Communication Systems Modeling with Non-Markovian Stochastic Petri Nets, NY: Wiley.
20. Guimarães, F.A.C. and Lapa, C.M. (2007) ‘Fuzzy inference to risk assessment on nuclear engineering systems’, Applied Soft Computing, Vol. 7, No. 1, pp.17–28.
21. Hauptmanns, U. (2004) ‘Semi-quantitative fault tree analysis for process plant safety using frequency and probability ranges’, Journal of Loss Prevention in the Process Industry, Vol. 17, pp.339–345.
22. Hsu, C-C. and Chen, C-Y. (2003) ‘Applications of improved grey prediction model for power demand forecasting’, Energy Conversion and Management, Vol. 44. pp.2241–2249.
23. Knezevic, J. and Odoom, E.R. (2001) ‘Reliability modeling of repairable systems using Petri nets and Fuzzy Lambda Tau methodology’, Reliability Engineering and System Safety, Vol. 73, No. 1, pp.1–17.
24. Konstandinidou, M., Nivolianitou, Z., Kiranoudis, C. and Markatos, N. (2006) ‘A fuzzy modeling application of CREAM methodology for human reliability analysis’, Reliability Engineering and System Safety, Vol. 91, No. 6, pp.706–716.
25. Kumar, V. and Aggarwal, K.K. (1993) ‘Petri net modeling and reliability evaluation of distributed processing systems’, Reliability Engineering and System Safety, Vol. 41, pp.167–176.
26. Liang, H.C. and Weng, M.C. (2002) ‘Using fuzzy approaches to evaluate quality improvement alternative based on quality costs’, International Journal of Quality and Reliability Management, Vol. 19, No. 2, pp.122–136.
27. Lian, R., Lin, J.B-F. and Huang, J-H. (2005) ‘A grey prediction fuzzy controller for constant cutting force in turning’, International Journal of Machine Tools and Manufacture, Vol. 45, No. 9, pp.1047–1056.
28. Liu, T.S. and Chiou, S.B. (1997) ‘The application of petri nets to failure analysis’, Reliability Engineering and System Safety, Vol. 57, pp.129–142.
29. Liu, S.F. and Lin, Y. (1998) ‘An introduction to grey systems: foundations, methodology and applications’, IIGSS Academic Publisher, Grove City, PA.
30. Liu, J., Yang, J.B., Wang, J. and Sii, W.J. (2005) ‘Engineering system safety analysis using fuzzy evidential reasoning approach’, Quality Reliability Engineering International, Vol. 21, pp.387–411.
31. Modarres, M. and Kaminsky M.P. (1999) Reliability Engineering and Risk Analysis, NY: Marcel Dekker.
32. Peterson, J.L. (1999) Petri Net Theory and the Modeling of Systems, Prentice-Hall, NJ: Englewood Cliffs.
33. Popstojanova, K. and Trivedi, K.S. (2001) ‘Architecture-based approach to reliability assessment of software systems’, Performance Evaluation, Vol. 45, Nos. 2-3, pp.179–204.
34. Ross, T.J. (1999) Fuzzy Logic With Engineering Applications, NY: McGraw-Hill.
35. Sahner, R. and Trivedi, K. (1996) Performance and Reliability Analysis of Computer Systems, Kluwer.
36. Savoia, M. (2002) ‘Structural reliability analysis through fuzzy number approach, with application to stability’, Computers and Structures, Vol. 80, No. 12, pp.1087–1102.
37. Schoenig, R., Aubry, J-F., Cambois, T. and Hutinet, T. (2006) ‘An aggregation method of markov graphs for the reliability analysis of hybrid systems’, Reliability Engineering and System Safety, Vol. 91, No. 2, pp.137–148.
38. Sergaki, A. and Kalaitzakis, K. (2002) ‘A fuzzy knowledge based method for maintenance planning in a power system’, Reliability Engineering and System Safety, Vol. 77, pp.19–30.
39. Siu, O.N., Kelly, D.N. (1998) ‘Bayesian parameter estimation in probabilistic risk assessment’, Reliability Engineering and System Safety, Vol. 62, pp.89–116.
40. Sharma, R., Kumar, D. and Kumar, P. (2005) ‘Systematic failure mode and effect analysis using fuzzy linguistic modeling’, International Journal of Quality and Reliability Management, Vol. 22, No. 9, pp.886–1004.
41. Sharma, R., Kumar, D. and Kumar, P. (2007a) ‘A framework to implement QCS through process cost modeling’, TQM Magazine, Vol. 19, No. 1, pp.18–36.
42. Sharma, R.K., Kumar, D. and Kumar, P. (2007b) ‘FM – a pragmatic tool to model, analyze and predict complex behavior of industrial systems’, Engineering Computations – International Journal for Computer-Aided Engineering and Software, Vol. 24, No. 4, pp.319–346.
43. Sii, H.S., Ruxton, S.H. and Wang, J.T. (2001) ‘A fuzzy logic based approach to qualitative safety modeling for marine systems’, Reliability Engineering and System Safety, Vol. 73. pp.19–34.
44. Sittithumwat, A., Soudi, F. and Tomsovic, K. (2004) ‘Optimal allocation of distribution maintenance resources with limited information’, Electric Power Systems Research, Vol. 68, No. 3, pp.208–220.
45. Sankar, N.R. and Prabhu (2001) ‘Modified approach for prioritization of failures in a system failure mode and effect analysis’, International Journal of Quality and Reliability Management, Vol. 18, No. 3, pp.324–335.
46. Wang, M.H. and Hung, C.P. (2003) ‘Novel grey model for the prediction of trend of dissolved gases in oil-filled power apparatus’, Electric Power Systems Research, Vol. 67, No. 1, pp.53–58.
47. Wang, W.P., Peng, Y.H. and Li, X.Y. (2002) ‘Fuzzy-grey prediction of cutting force uncertainty in turning’, Journal of Materials Processing Technology, Vol. 129, Nos. 1-3, pp.663–666.
48. Wang, W-L., Pan, D. and Chen, M-H. (2006) ‘Architecture-based software reliability modeling’, Journal of Systems and Software, Vol. 79, No. 1, pp.132–146.
49. Xu, K., Tang, L.C. and Xie. M. (2002) ‘Fuzzy assessment of FMEA for engine system’, Reliability Engineering and System Safety, Vol. 75, pp.17–29.
50. Yang, Y.Q., Wang, S.Q., Dulaimi, M. and Low, S.P. (2003) ‘A fuzzy quality function deployment system for buildable design decision-makings’, Automation in Construction, Vol. 12, No. 4, pp.381–393.
51. Zadeh, L. (1975) ‘The concept of linguistic variable and its application to approximate reasoning’, Information Sciences, Vol. 8, pp.301–357.
52. Zhang, H., Li, Z. and Chen, Z. (2003) ‘Application of grey modeling method to fitting and forecasting wear trend of marine diesel engines’, Tribology International, Vol. 36, No. 10, pp.753–756.
53. Zimmermann, H. (1996) Fuzzy Set Theory and its Applications, 3rd Edition, London: Kluwer Publishers.