Reliability Analysis of Piston Manufacturing
Journal of Reliability and Statistical Studies; ISSN (Print): 0974-8024, (Online):2229-5666 Vol. 4, Issue 2 (2011): 43-55
RELIABILITY ANALYSIS OF PISTON MANUFACTURING SYSTEM
Amit Kumar and Sneh Lata School of Mathematics and Computer Applications Thapar University, Patiala-147004, India E Mail: amit_rs_iitr@yahoo.com, sneh.thaparian@gmail.com Abstract
Now days, internal combustion engines are used in most of the automobiles and mechanical machineries. The piston is a part without which no internal combustion engine can work i.e., piston plays a vital role in almost all types of vehicles. So, the reliability of piston manufacturing system is most essential for the proper functioning of vehicles. In this paper, fault tree method is used to analyze the reliability of piston manufacturing system. Also, risk reduction worth is adopted as a measure of importance for identifying the crucial element that has significant impact on the reliability.
Keywords: reliability, piston manufacturing system, fault tree analysis 1. Introduction
Several researchers have used fault tree analysis (FTA) method to analyze the vast majority of industrial system reliability problems. FTA is a deductive failure analysis which focuses on one particular undesired event and which provides a method for determining cause of this event [1]. Factors that contribute to the events are traced to the smallest sub-divisions termed as basic events. The cascading effects of several sub-systems may be linked together and multiple effects may be captured through logical AND and OR relationships. Head event probability is determined from basic events in the fault tree. Tanaka and Fan [2] presented the approach based on a fuzzy fault tree model and determined the maximum possibility of system failure from the possibility of failure of each component within the system according to the extension principle. Hessian et al. [3] discussed FTA for system design, development, modification, and verification.
RELIABILITY ANALYSIS OF PISTON MANUFACTURING SYSTEM
Amit Kumar and Sneh Lata School of Mathematics and Computer Applications Thapar University, Patiala-147004, India E Mail: amit_rs_iitr@yahoo.com, sneh.thaparian@gmail.com Abstract
Now days, internal combustion engines are used in most of the automobiles and mechanical machineries. The piston is a part without which no internal combustion engine can work i.e., piston plays a vital role in almost all types of vehicles. So, the reliability of piston manufacturing system is most essential for the proper functioning of vehicles. In this paper, fault tree method is used to analyze the reliability of piston manufacturing system. Also, risk reduction worth is adopted as a measure of importance for identifying the crucial element that has significant impact on the reliability.
Keywords: reliability, piston manufacturing system, fault tree analysis 1. Introduction
Several researchers have used fault tree analysis (FTA) method to analyze the vast majority of industrial system reliability problems. FTA is a deductive failure analysis which focuses on one particular undesired event and which provides a method for determining cause of this event [1]. Factors that contribute to the events are traced to the smallest sub-divisions termed as basic events. The cascading effects of several sub-systems may be linked together and multiple effects may be captured through logical AND and OR relationships. Head event probability is determined from basic events in the fault tree. Tanaka and Fan [2] presented the approach based on a fuzzy fault tree model and determined the maximum possibility of system failure from the possibility of failure of each component within the system according to the extension principle. Hessian et al. [3] discussed FTA for system design, development, modification, and verification.
References: 1. Vesely, W. E., Goldberg, F. F., Roberts, N. H. and Haasl D. F. (1981). Fault tree handbook, technical report NUREG-0492, U.S. Nuclear Regulatory Commission, Washington, D.C. 2. Tanaka, H. and Fan, L. T. (1983). Fault tree analysis by fuzzy probability, IEEE Transactions on Reliability, R-32(5), p. 453-457. 3. Hessian, R. T., Salter, B. B. and Edwin F. Goodwin, E. F. (1990). Fault-tree analysis for system design, development, modification, and verification, IEEE Transactions on Reliability, 39(1), p. 87-91. 4. Geymayr, J. A. B. and Ebecken, N. F. F. (1995). Fault-tree analysis: A knowledge-engineering approach, IEEE Transactions on Reliability, 44(1), p. 37-45. 5. Schweitzer, E. O., Fleming, B., Lee, T. J. and Anderson, P. M. (1997). Reliability analysis of transmission protection using fault tree methods, Proceedings 24th Annual Western Protective Relay, p. 1-7. 6. Chao, W. and Sheng, G. D. (2000). Fault tree analysis of dust suppression mechanism in a spray system with wetting agent, Journal of Central South University of Technology, 7(3), p. 117-123. 7. Xing, L. (2004). Maintenance-oriented fault tree analysis of component importance, Reliability and Maintainability, Annual Symposium – RAMS, p. 534-539. 8. Cheng, G., Zhang, Y. and Liu, Y. (2005). Reliability analysis techniques based on FTA for reactor-regenerator system, Proceedings 18th International Conference on Structural Mechanics in Reactor Technology, p. 3843-3854. 9. Hong, Y. Y., Lee, L. H. and Cheng, H. H. (2006). Reliability assessment of protection system for switchyard using fault-tree analysis, Proceedings International Conference on Power System Technology, p. 1-8. 10. Choi, J. S., Cho, N. Z. (2007). A practical method for accurate quantification of large fault trees, Reliability Engineering and System Safety, 92(7), p. 971982. 11. Hsiao, T. Y., and Lu, C. N. (2008). Risk informed design refinement of a power system protection scheme”, IEEE Transactions on Reliability, R-57(2), p. 311-321. Reliability Analysis of Piston Manufacturing System 55 12. Volkanovski, A., Cepin, M. and Mavko, B. (2009). Application of the fault tree analysis for assessment of power system reliability, Reliability Engineering and System Safety, 94(6), p. 1116-1127. 13. Zhenjie, L., Yue, Y. and Bowen, W. (2010). Reliability evaluation of flood releasing structures power supply of hydroelectric power station by fault tree analysis, Proceedings Power and Energy Engineering Conference, p. 1-5. 14. Stamatelatos, M., Vesely, W., Dugan, J., Fragola, J., Minarick, J., and Railsback, J. (2002). Fault tree handbook with aerospace application, NASA office of Safety and Mission Assurance, Washington.