System reliability is usually predicted with the assumption that all component states are independent. This assumption may not accurate for systems with outsourced components since their states are strongly dependent and component details may be unknown. The purpose of this study is to develop an accurate system reliability method that can produce complete joint probability density function (PDF) of all the component states, thereby leading to accurate system reliability predictions. The proposed method works for systems whose failures are caused by excessive loading. In addition to the component reliability, system designers also ask for partial safety factors for shared loadings from component suppliers. The information is then sufficient for building a system-level joint PDF. Algorithms are designed for a component supplier to generate partial safety factors. The method enables accurate system reliability predictions without requiring proprietary information from component suppliers.
A Partial Safety Factor Method for System Reliability Prediction With Outsourced Components
Manuscript received July 13, 2018; final manuscript received February 24, 2019; published online April 15, 2019. Assoc. Editor: Zissimos P. Mourelatos.
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Hu, Z., and Du, X. (April 15, 2019). "A Partial Safety Factor Method for System Reliability Prediction With Outsourced Components." ASME. ASME J. Risk Uncertainty Part B. June 2019; 5(2): 020910. https://doi.org/10.1115/1.4042973
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