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Journals / İstatistik. Türk İstatistik Derneği Dergisi / 2017 / Cilt: 10 - Sayı: 2

PREDICTING RESIDUAL LIFETIMES OF DYNAMIC r--out--of--n SYSTEMS

Mohammad BARATNİA
Mahdi DOOSTPARAST
Pages
45–51
Publication Date
2022-10-19
DOI
—
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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

🎯
Objective & Hypothesis:An important reliability index is the residual lifetime (RL).
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Key Findings & Data:The RL may be used for designingengineering systems, maintenance policy programs as well as for comparison and prediction of systemlifetimes.
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Conclusion & Impact:Illustrative examples are also given.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

An important reliability index is the residual lifetime (RL). The RL may be used for designingengineering systems, maintenance policy programs as well as for comparison and prediction of systemlifetimes. In this paper, dynamic r-out-of-n systems are considered as an subclass of engineering coherentsystems. Given the first 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

BARATNİA, M., DOOSTPARAST, M. (2022). PREDICTING RESIDUAL LIFETIMES OF DYNAMIC r--out--of--n SYSTEMS. İstatistik. Türk İstatistik Derneği Dergisi, Cilt: 10 - Sayı: 2, 45–51. https://ajindex.com/articles/555716

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