Stochastic behavior analysis of the feeding system in a paper mill using NGABLT technique

International Journal of Quality and Reliability Management

Volumn 27, Issue 8, 2010, Pages 953-971

  Sharma, S P ^a   Kumar, Dinesh ^a   Komal, ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Algorithmic languages; Fuzzy control; Fuzzy logic; Manufacturing systems; Neural nets; Stochastic process

Indexed keywords

EID: 77956555575     PISSN: 0265671X     EISSN: None     Source Type: Journal    
DOI: 10.1108/02656711011075134     Document Type: Article

References (47)

1. Adamyan, A. and David, H. (2002), "Analysis of sequential failures for assessment of reliability and safety of manufacturing systems" in Reliability Engineering & System Safety, Vol. 76, pp. 227-36.
2. Aourid, M. and Do, X.D. (1995), "Neural network approximation: application to peak switching over-voltage determination in power systems" in Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth, Australia, pp. 200-4.
3. Aneziris, O.N. and Papazoglou, I.A. (2004), "Fast Markovian method for dynamic safety analysis of process plants'" in Journal of Loss Prevention in the Process Industries, Vol. 17, No. 1, pp. 1-8.
4. Bai, X. and Asgarpoor, S. (2004), "Fuzzy based approaches to substation reliability evaluation" in Electric Power Systems Research, Vol. 69, pp. 197-204.
5. Back, T. and Schwefel, H.-P. (1993), "An overview of evolutionary algorithms for parameter optimization" in Evolutionary Computation, Vol. 1, No. 1, pp. 1-23.
6. Cai, K.Y. (1996), "System failure engineering and fuzzy methodology: an introductory overview" in Fuzzy Sets and Systems, Vol. 83, pp. 113-33.
7. Cai, K.Y., Wen, C.Y. and Zhang, M.L. (1991a), "A critical review on software reliability modeling" in Reliability Engineering & System Safety, Vol. 32, pp. 357-71.
8. Cai, K.Y., Wen, C.Y. and Zhang, M.L. (1991b), "Fuzzy variables as a basis for a theory of fuzzy reliability in the possibility context" in Fuzzy Sets and Systems, Vol. 42, pp. 145-72.
9. Cizelj, R.J., Mavko, B. and Kljenak, I. (2001), "Component reliability assessment using quantitative and qualitative data" in Reliability Engineering & System Safety, Vol. 71, No. 1, pp. 81-95.
10. Coit, D. and Smith, A. (1996), "Reliability optimization of series-parallel systems using a genetic algorithm" in IEEE Transactions Reliability, Vol. 45, No. 2, pp. 254-60.
11. Cybenko, G. (1989), "Approximation by superpositions of a sigmoidal function" in Mathematics of Control Signals System, Vol. 2, No. 4, pp. 303-14.
12. Ebeling, C. (2001), An Introduction to Reliability and Maintainability Engineering, Tata McGraw-Hill, New York, NY.
13. Goldberg, D.E. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA.
14. Hauptmanns, U. (2004), "Semi-quantitative fault tree analysis for process plant safety using frequency and probability ranges" in Journal of Loss Prevention in the Process Industry, Vol. 17, pp. 339-45.
15. Huang, H.Z., Zuo, M.J. and Sun, Z.Q. (2006), "Bayesian reliability analysis for fuzzy lifetime data" in Fuzzy Sets and Systems, Vol. 157, pp. 1674-86.
16. Jain, L.C. and Martin, N.M. (1999), Fusion of Neural Networks, Fuzzy Sets and Genetic Algorithms: Industrial Applications, CRC Press, Boca Raton, FL.
17. Knezevic, J. and Odoom, E.R. (2001), "Reliability modeling of repairable system using Petri nets and fuzzy Lambda-Tau methodology" in Reliability Engineering & System Safety, Vol. 73, pp. 1-17.
18. Komal, Sharma, S.P., Kumar, D. (2007), "Reliability analysis of the feeding system in a paper industry using lambda-tau technique" in Proceedings of International Conference on Reliability and Safety Engineering INCRESE, Udaipur, India, pp. 531-6.
19. Konstandinidou, M., Nivolianitou, Z., Kiranoudis, C. and Markatos, N. (2006), "A fuzzy modeling application of CREAM methodology for reliability" in Reliability Engineering & System Safety, Vol. 91, No. 6, pp. 706-16.
20. Kosko, B. (1991), Neural Networks and Fuzzy System: A Dynamical Systems Approach to Machine Intelligence, Prentice-Hall, Upper Saddle River, NJ.
21. Kumar, D. (1991), "Analysis and optimization of systems availability in sugar, paper and fertilizer industries", University of Roorkee, Roorkee.
22. Kumar, D., Singh, J. and Pandey, P.C. (1991), "Behavior analysis of paper production system with different repair polices" in Microelectron Reliability, Vol. 31, No. 1, pp. 47-51.
23. Liao, S.H. (2005), "Expert system methodologies and applications - a decade review from 1995 to 2004" in Expert Systems with Applications, Vol. 28, No. 1, pp. 93-103.
24. Liu, J., Yang, J.B., Wang, J. and Sii, W.J. (2005), "Engineering system safety analysis using fuzzy evidential reasoning approach" in Quality Reliability Engineering International, Vol. 21, pp. 387-411.
25. Liu, P.X., Zuo, M.J. and Meng, M.Q.H. (2003), "Using neural network function approximation for optimal design of continuous-state parallel-series systems" in Computers & Operations Research, Vol. 30, pp. 339-52.
26. Mitsuo, G. and Young-Su, Y. (2006), "Soft computing approach for reliability optimization: state-of-the-art survey" in Reliability Engineering & System Safety, Vol. 91, pp. 1008-26.
27. Mon, D.L. and Cheng, C.H. (1994), "Fuzzy system reliability analysis for components with different membership functions" in Fuzzy Sets and Systems, Vol. 64, No. 2, pp. 145-57.
28. O'Connor, P.D.T. (2000), Practical Reliability Engineering, Heyden, London.
29. Onisawa, T. (1988), "An approach to human reliability in man machine system using error possibility" in Fuzzy Sets and Systems, Vol. 27, pp. 87-103.
30. Poulton, M.M. (2002), "Neural networks as an intelligence amplification tool: a review of applications" in Geophysics, Vol. 67, No. 3, pp. 979-93.
31. Qian, Y., Li, X., Jiang, Y. and Wen, Y. (2003), "An expert system for real time fault diagnosis of complex chemical processes" in Expert Systems with Applications, Vol. 24, No. 4, pp. 425-32.
32. Ross, T.J. (2000), Fuzzy Logic with Engineering Applications, McGraw-Hill, New York, NY.
33. Savoia, M. (2002), "Structural reliability analysis through fuzzy number approach, with application to stability" in Computers & Structures, Vol. 80, No. 12, pp. 1087-102.
34. Sergaki, A. and Kalaitzakis, K. (2002), "A fuzzy knowledge based method for maintenance planning in a power system" in Reliability Engineering & System Safety, Vol. 77, pp. 19-30.
35. Sick, B. (2002), "On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research" in Mechanical Systems Signal Process, Vol. 16, No. 4, pp. 487-546.
36. Singer, D. (1990), "A fuzzy set approach to fault tree and reliability analysis" in Fuzzy Sets and Systems, Vol. 34, pp. 145-55.
37. Singh, C. and Dhillion, B.S. (1991), Engineering Reliability: New Techniques and Applications, Wiley, New York, NY.
38. Sharma, R.K., Kumar, D. and Kumar, P. (2005), "Systematic failure mode effect analysis using fuzzy linguistic modeling" in International Journal of Quality & Reliability Management, Vol. 22, No. 9, pp. 986-1004.
39. Sharma, R.K., Kumar, D. and Kumar, P. (2007a), "A framework to implement QCS through process cost modeling" in The TQM Magazine., Vol. 19, No. 1, pp. 18-36.
40. Sharma, R.K., Kumar, D. and Kumar, P. (2007b), "FM - a pragmatic tool to model, analyse and predict complex behaviour of industrial systems" in International Journal for Computer-aided Engineering and Software, Vol. 24, No. 4, pp. 319-46.
41. Tanaka, H., Fan, L.T., Lai, F.S. and Toguchi, K. (1983), "Fault-tree analysis by fuzzy probability" in IEEE Transactions Reliability, Vol. 32, pp. 453-7, available at: www.paper.org.uk/info/process/process.htm.
42. Zadeh, L.A. (1965), "Fuzzy sets" in Information Controls, Vol. 8, pp. 338-53.
43. Zimmermann, H. (1996), Fuzzy Set Theory and its Applications, 3rd ed., Kluwer, London.
44. Carter, A.D.S. (1972), Mechanical Reliability, Wiley, New York, NY.
45. Chang, D., Rhee, T., Nam, K., Chang, K., Lee, D. and Jeong, S. (2008), "A study on availability and safety of new propulsion systems for LNG carriers" in Reliability Engineering & System Safety, Vol. 93, No. 12, pp. 1877-85.
46. Das, K. (2008), "A comparative study of exponential distribution vs Weibull distribution in machine reliability analysis in a CMS design" in Computers & Industrial Engineering, Vol. 54, pp. 12-33.
47. Zupei, S., Yao, W. and Xiangrui, H. (2003), "A quantification algorithm for a repairable system in the GO methodology" in Reliability Engineering & System Safety, Vol. 80, pp. 293-8.