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Validation of Reliability Prediction Models
Technical Paper
2003-01-0875
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper proposes new methods to assess the validity of reliability prediction models through a Bayesian approach. The concept of Bayesian hypothesis testing is extended to system-level problems where full-scale testing is impossible. Component-level validation results are used to derive a system-level validation measure. This derivation depends on the knowledge of interrelationships between component modules. Bayes networks are used for the propagation of validation information from the component -level to system-level. Validation of reliability prediction model for a single degree of freedom oscillator under high-cycle fatigue and fatigue life prediction of a helicopter rotor hub is illustrated for this purpose.
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Citation
Rebba, R., Mahadevan, S., and Zhang, R., "Validation of Reliability Prediction Models," SAE Technical Paper 2003-01-0875, 2003, https://doi.org/10.4271/2003-01-0875.Also In
Reliability & Robust Design in Automotive Engineering on CD-ROM
Number: SP-1736CD; Published: 2003-03-03
Number: SP-1736CD; Published: 2003-03-03
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