The Impact of Data Shortfalls on Reliability Uncertainty: Using the Rationale for Assessing Degradation Arriving at Random Methodology
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
The impact of data shortfalls on reliability uncertainty is studied using the Rationale for Assessing Degradation Arriving at Random (RADAR) Bayesian methodology for a series system.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1335640
- Report Number(s):
- LA-UR--16-29373
- Country of Publication:
- United States
- Language:
- English
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