Behavior prediction of washing system in a paper industry using GA and fuzzy lambda-tau technique

Applied Mathematical Modelling

Volumn 36, Issue 6, 2012, Pages 2614-2626

  Sharma, S P ^a   Kumar, Dinesh ^a   Kumar, Ajay ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b ABV INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

Author keywords

Genetic algorithms; Linguistic variables; MTBF; Optimization; Petri nets; Reliability

Indexed keywords

AVAILABILITY ANALYSIS; BEHAVIOR PREDICTION; EXPECTED NUMBER OF FAILURES; EXPERT OPINION; FAILURE BEHAVIORS; FAILURE RATE; INDUSTRIAL SYSTEMS; LINGUISTIC VARIABLE; MAINTENANCE ENGINEERS; MEAN TIME BETWEEN FAILURES; MTBF; OPERATING CONDITION; PAPER INDUSTRIES; PERFORMANCE MEASURE; RELIABILITY INFORMATION; RELIABILITY PARAMETERS; REPAIR RATE; SYSTEM AVAILABILITY; SYSTEM BEHAVIORS; SYSTEM MODELS; SYSTEM STRUCTURES; TRIANGULAR FUZZY NUMBERS; WASHING SYSTEMS;

FORECASTING; FUZZY SETS; LINGUISTICS; OPTIMIZATION; PAPER AND PULP INDUSTRY; PETRI NETS; RELIABILITY; REPAIR; WASHING;

GENETIC ALGORITHMS;

ALGORITHMS; FAILURE; FUZZY LOGIC; MATHEMATICAL ANALYSIS; OPTIMIZATION; PAPER INDUSTRY; RELIABILITY; WASHING;

EID: 84857030526     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2011.09.044     Document Type: Article

References (43)

1. Sharma R.K., Kumar D., Kumar P. Predicting uncertain behavior of industrial system using FM: a practical case. Appl. Soft Comput. 2008, 8(1):96-109.
2. Verma A.K., Srividya A., Gaonkar R.S.P. Fuzzy-Reliability Engineering, Concepts and Applications 2007, Narosa Publishing House Pvt. Ltd., New Delhi, India.
3. Cai K.Y. System failure engineering and fuzzy methodology: an introductory overview. Fuzzy Sets Syst. 1996, 83:113-133.
4. Singer D. A fuzzy set approach to fault tree and reliability analysis. Fuzzy Sets Syst. 1990, 34(2):145-155.
5. Cheng C.H., Mon D.L. Fuzzy system reliability analysis by interval of confidence. Fuzzy Sets Syst. 1993, 56(1):29-35.
6. Chen S.M. Fuzzy system reliability analysis using fuzzy number arithmetic operations. Fuzzy Sets Syst. 1994, 64(1):31-38.
7. Knezevic J., Odoom E.R. Reliability modeling of repairable systems using petri nets and Fuzzy lambda-tau methodology. Reliab. Eng. Syst. Safety 2001, 73(1):1-17.
8. Wang K.S., Po H.J., Hsu F.S., Liu C.S. Analysis of equivalent dynamic reliability with repairs under partial information. Reliab. Eng. Syst. Safety 2002, 76(1):29-42.
9. Yadav O.P., Singh N., Chinnam R.B., Goel P.S. A fuzzy logic based approach to reliability improvement estimation during product development. Reliab. Eng. Syst. Safety 2003, 80(1):63-74.
10. Jiang Q., Chen C.-H. A numerical algorithm of fuzzy reliability. Reliab. Eng. Syst. Safety 2003, 80(3):299-307.
11. Tanrioven M., Wu Q., Turner D., Kocatepe C., Wang J. A new approach to real-time reliability analysis of transmission system using fuzzy Markov model. Int. J. Elect. Power Energy Syst. 2004, 26(10):821-832.
12. Zhao R., Liu B. Standby redundancy optimization problems with fuzzy lifetimes. Comput. Indust. Eng. 2005, 49(2):318-338.
13. Huang H.-Z., Zuo M.J., Sun Z.-Q. Bayesian reliability analysis for fuzzy lifetime data. Fuzzy Sets Syst. 2006, 157(12):1674-1686.
14. Rao K.D., Gopika V., Kushwaha H., Verma A., Srividya A. Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach. Reliab. Eng. Syst. Safety 2007, 92(7):895-901.
15. Ke J.-C., Huang H.-I., Lin C.-H. A redundant repairable system with imperfect coverage and fuzzy parameters. Appl. Math. Modell. 2008, 32(12):2839-2850.
16. Wang S., Watada J. Modelling redundancy allocation for a fuzzy random parallel-series system. J. Comput. Appl. Math. 2009, 232(2):539-557.
17. Komal, Sharma S., Kumar D. RAM analysis of repairable industrial systems utilizing uncertain data. Appl. Soft Comput. 2010, 10(4):1208-1221.
18. Taheri S., Zarei R. Bayesian system reliability assessment under the vague environment. Appl. Soft Comput. 2011, 11(2):1614-1622.
19. Kumar N., Borm J.-H., Kumar A. Reliability analysis of waste clean-up manipulator using genetic algorithms and fuzzy methodology. Comput. Oper. Res. 2012, 39(2):310-319.
20. Konstandinidou M., Nivolianitou Z., Kiranoudis C., Markatos N. A fuzzy modeling application of cream methodology for human reliability analysis. Reliab. Eng. Syst. Safety 2006, 91(6):706-716.
21. Bertolini M. Assessment of human reliability factors: a fuzzy cognitive maps approach. Int. J. Indus. Ergonom. 2007, 37(5):405-413.
22. Li P.-C., hua Chen G., cao Dai L., Li Z. Fuzzy logic-based approach for identifying the risk importance of human error. Safety Sci. 2010, 48(7):902-913.
23. Hsieh Y.C., Chen T.C., Bricker D.L. Genetic algorithms for reliability design problems. Microelect. Reliab. 1998, 38:1599-1605.
24. Jeang A. Optimal process parameter determination for computer-aided manufacturing. Quality Reliab. Eng. Int. 1999, 15:3-16.
25. Z.L. Li, Availability Allocation of Series-Parallel System Solved from Object-Oriented Planning, Master's Thesis, Feng-Chia University, Taichung, Taiwan, 2001.
26. Ramirez-Marquez J.E., Coit D. A heuristic for solving the redundancy allocation problem for multistate series-parallel systems. Reliab. Eng. Syst. Safety 2004, 83(3):341-349.
27. Yalaoui C.C., Chatelet E. Reliability allocation problem in a series-parallel system. Reliab. Eng. Syst. Safety 2005, 90:55-61.
28. You P.-S., Chen T.-C. An efficient heuristic for series-parallel redundant reliability problems. Comput. Oper. Res. 2005, 32:2117-2127.
29. Liu H., Sun Y., Wang P., Lin C., Goel L. A novel state selection technique for power system reliability evaluation. Elect. Power Syst. Res. 2008, 78:1019-1027.
30. Juang Y.-S., Lin S.-S., Kao H.-P. A knowledge management system for series-parallel availability optimization and design. Expert Syst. Appl. 2008, 34:181-193.
31. Azaron A., Perkgoz C., Katagiri H., Kato K., Sakawa M. Multi-objective reliability optimization for dissimilar-unit cold-standby systems using a genetic algorithm. Comput. Oper. Res. 2009, 36(5):1562-1571.
32. Bhunia A., Sahoo L., Roy D. Reliability stochastic optimization for a series system with interval component reliability via genetic algorithm. Appl. Math. Comput. 2010, 216(3):929-939.
33. Lins I.D., Droguett E.L. Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation. Simul. Model. Practice Theory 2011, 19(1):362-381.
34. Murata T. Petri nets: properties, analysis and applications. Proc. IEEE 1989, 77(4):541-580.
35. Desrochers A.A., Al-Jaar R.Y. Applications of Petri Nets in Manufacturing Systems 1995, IEEE Press, New York, NY.
36. Baccelli F., Serguei F.N., Gaujal B. Parallel and distributed simulation of free choice petri nets. IEEE Trans. Automat. Contr. 1996, 41(12):1751-1777.
37. Liu T., Chiou S. The application of petri nets to failure analysis. Reliab. Eng. Syst. Safety 1997, 57:129-142.
38. Adamyan A., He D. Analysis of sequential failure for assessment of reliability and safety of manufacturing systems. Reliab. Eng. Syst. Safety 2002, 76(3):227-236.
39. A. Adamyan, D. He, Failure and safety assessment of systems using petri nets, in: Proceeding of IEEE International Conference on Robotics and Automation, Washington, DC, 2002, pp. 1919-1924.
40. Birolini A. Reliability Engineering: Theory and Practice 2007, Springer, New York, NY. fifth ed.
41. Tillman F.A., Hwang C.-L., Kuo W. Optimization of Systems Reliability 1980, Marcel Dekker, New York.
42. Dhillion B.S., Singh C. Engineering Reliability: New Techniques and Applications 1991, Wiley, New York.
43. Ross T.J. Fuzzy Logic with Engineering Applications 2004, Wiley, New York. second ed.