Reliability Analysis for the Ignition System of Aviation Piston Engine in the GO Methodology

Abstract:

Analyzing success probability of the ignition system of aviation piston engine based on GO methodology.Constructing the GO diagram of the ignition system of aviation piston engine and definites operational character types and fault rates.Using two quantification analysis methods without considering effects from the shared signal (signal generator 3),the success probabilities of the ignition system is 0.693. With considering effects from the shared signal (signal generator 3),the success probabilities of the ignition system is 0.707 by the corrected probability computing formula.so the effect from the shared signal should not be omitted.Using qualitative analysis method,the sum of the failure probability of minimal cut sets is0.780. After verification,the accuracy of reliability analysis for the ignition system using the corrected GO model with considering effects from shared signals is highest,and this GO model is applicable for reliabiliity analysis of the ignition system of aviation piston engine.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 375-379
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.375
• Online since: October 2014
• Authors: Yan Feng*
• Keywords: Aviation Piston Engine, GO Methodology, Ignition System, Reliability Analysis

References

[1] Shen Zupei, Wang Yao, Huang Xiangrui, A quantification algorithm for a repairable system in the GO methodology, Reliability Engineering and System Safety. 2003, 80(3)293-298.

DOI: 10.1016/s0951-8320(03)00036-x

[2] Shen Zupei, Gao Jia, Huang Xiangrui, A new quantification algorithm for the GO methodology, Reliability Engineering and System Safety. 2000, 67(3) 241-247.

DOI: 10.1016/s0951-8320(99)00071-x

[3] Dr David J. Smith, Reliability Maintainability and Risk, Butterworth-Heinemann, Oxford, (2011).

[4] Igor Bazovsky, Reliability Theory and Practice, Dover Publications, New York, (2004).

[5] Kailash C. Kapur, Michael Pecht, Reliability Engineering, John Wiley & Sons, New Jersey , (2014).

[6] Rausand, Marvin, Reliability of Safety-Critical Systems: Theory and Applications, John Wiley & Sons, New Jersey , (2014).

[7] Frenkel, Ilia; Karagrigoriou, Alex; Lisnianski, Anatoly, Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference, John Wiley & Sons, New Jersey , (2013).

DOI: 10.1002/9781118701881