Reliability (Engineering) -- Mathematics -- Congresses : Applied mathematics in engineering and reliability : proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability (ICAMER 2016), (Ho Chi Minh City, Vietnam, 4-6 May 2016) / editors, Radim Briš & Václav Snášel, Chu Duc Khanh, Phan Dao
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results
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Reliability Fasteners United States Congresses : Bolting reliability for offshore oil and natural gas operations : proceedings of a workshop / Anne Frances Johnson, rapporteur ; National Materials and Manufacturing Board, Division on Engineering and Physical Sciences, National Academy of Engineering, the National Academies of Sciences, Engineering, and Medicine
Reliability Fiber optics : Fiber optic component design, fabrication, testing, operation, reliability, and maintainability / by N.L. Christian and L.K. Passauer
1989
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Reliability Field-effect transistors : Mitigating process variability and soft errors at circuit-level for FinFETs / Alexandra Zimpeck, Cristina Meinhardt, Laurent Artola, Ricardo Reis
2021
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Reliability Fire sprinklers : Reliability data on fire sprinkler systems : collection, analysis, presentation, and validation / by Arnstein Fedoy and Ajit Kumar Verma
Reliability High altitude platform systems (Telecommunication) : Reliability assessment of tethered high-altitude unmanned telecommunication platforms : k-out-of-n reliability models and applications / Vladimir M. Vishnevsky, Dharmaraja Selvamuthu, Vladimir Rykov, Dmitry V. Kozyrev, Nika Ivanova, Achyutha Krishnamoorthy
Reliability Machinery Forecasting : Prognostics and remaining useful life (RUL) estimation : predicting with confidence / Diego Galar, Kai Goebel, Peter Sandborn, Uday Kumar
