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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Illustrative examples are also given.
📌 3 Key Takeaways
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Objective & Hypothesis:An important reliability index is the residual lifetime (RL).
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Key Findings & Data:The RL may be used for designing engineering systems, maintenance policy programs as well as for comparison and prediction of system lifetimes.
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Conclusion & Impact:Illustrative examples are also given.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Mean residual lifetime · Prediction · Sequential order statistics
Abstract
An important reliability index is the residual lifetime (RL). The RL may be used for designing engineering systems, maintenance policy programs as well as for comparison and prediction of system lifetimes. In this paper, dynamic r-out-of-n systems are considered as an subclass of engineering coherent systems. Given the rst s component failure times, the RL of the system is predicted and the mean residual lifetime (MRL) is evaluated. Illustrative examples are also given.
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Cite This Article
Baratnia, M., Doostparast, M. (2017). PREDICTING RESIDUAL LIFETIMES OF DYNAMIC r-out-of-n SYSTEMS. Istatistik Journal of The Turkish Statistical Association, Volume: 10 Issue: 2. https://ajindex.com/articles/1636483