Paper
18 July 2023 Reliability assessment for aviation products with zero failure data
Jin Guo, Xiangwei Kong, Ningxiang Wu, Liyang Xie
Author Affiliations +
Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272244 (2023) https://doi.org/10.1117/12.2679930
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China
Abstract
This paper deals with a common problem in the reliability testing of aviation products—reliability assessment with zero failure data. Because the conventional method is excessively conservative, a reliability estimation method that introduces the lifetime dispersion of expert judgments is proposed in this paper. It is defined as the ratio of the maximum lifetime with a probability of 99.73% to the minimum lifetime. The performance of the proposed method is analyzed and compared with the conventional method through a Monte Carlo simulation study. The results show that the proposed method is superior in accuracy and robustness. In particular, the method performs better in the reliability assessment of aviation products. Finally, an application case study is conducted to illustrate the application of the proposed method.
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Jin Guo, Xiangwei Kong, Ningxiang Wu, and Liyang Xie "Reliability assessment for aviation products with zero failure data", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272244 (18 July 2023); https://doi.org/10.1117/12.2679930
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KEYWORDS
Reliability

Failure analysis

Monte Carlo methods

Statistical analysis

Engineering

Data modeling

Manufacturing

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