Uncertainty Characterization and Quantification in Product Validation and Reliability Demonstration 2016-01-0270
Product validation and reliability demonstration require testing of limited samples and probabilistic analyses of the test data. The uncertainties introduced from the tests with limited sample sizes and the assumptions made about the underlying probabilistic distribution will significantly impact the results and the results interpretation. Therefore, understanding the nature of these uncertainties is critical to test method development, uncertainty reduction, data interpretation, and the effectiveness of the validation and reliability demonstration procedures. In this paper, these uncertainties are investigated with the focuses on the following two aspects: (1) fundamentals of the RxxCyy criterion used in both the life testing and the binomial testing methods, (2) issues and benefits of using the two-parameter Weibull probabilistic distribution function. Finally, the potential impact of this research on product validation and reliability demonstration are indicated and some recommendations are provided.
Citation: Wei, Z., Luo, L., Start, M., and Gao, L., "Uncertainty Characterization and Quantification in Product Validation and Reliability Demonstration," SAE Technical Paper 2016-01-0270, 2016, https://doi.org/10.4271/2016-01-0270. Download Citation
Author(s):
Zhigang Wei, Limin Luo, Michael Start, Litang Gao
Affiliated:
Tenneco Inc.
Pages: 13
Event:
SAE 2016 World Congress and Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Test procedures
Reliability
Logistics
Research and development
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