Features added in new release of SRFYDO - February 2009
- Los Alamos National Laboratory
Version 2.0 of SRFYDO, released in February 2009, has a number of new features. This document describes these additions and is designed to complement the document 'Calculating System Reliability with SRFYDO: A User Guide' (Los Alamos National Laboratory Technical Report LA-UR 08-06161). The new features include: (1) Reliability Estimates for Combinations of Components - Users can now estimate the reliability of collections of components, such as a sections or sub-systems. This optional feature is activated via a new table, SectionDef, which is used to define names and component associations for the section or sub-system aggregate. If the SectionDef table is present, section plots and tabulated reliabilities will be created during the SRY3 phase. For more details see section 1. (2) Plots of System or Component Reliability Priors - SRFYDO now creates reliability plots for each system (if system priors were given) or each component (if component priors were given) during the SRY1 phase. These plots, written in the directory 'priorPDFs', are provided to help users visualize the impact of their estimates on the final reliability calculation. For more details see section 2. (3) Convenient Exclusion of Lifecycle Covariates - Both GUI and command-line interfaces to SRFYDO now allow the user to exclude one or both of the lifecycle covariates without requiring modification to the spreadsheet. With this capability users can readily explore the effect of adding or removing lifecycle measures on the resulting statistical analysis. Note that excluding a lifecycle covariate is not the same as setting its rate (-b or -c) to zero. For more details see section 3. (4) MCMC Diagnostic Plots - Diagnostic or 'trace' plots may optionally be created for each of the statistical parameters generated during the Monte Carlo phase (SRY2). These plots can help the user determine if (1) appropriate lifecycle variable choices have been made, (2) more sampling iterations, '-i', are required, and (3) suggest the number of samples to discard, '-x', for optimal results. For more details see section 4. (5) Sample Thinning - A sample thinning feature (-e) allows advanced users to address parameter correlation issues diagnosed by trace plots (section 4). For more details see section 5. (6) Version Compatibility - An incompatibility with the previous version of SRFYDO was introduced. If you use different SRFYDO versions for different phases of an analysis see section 6.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 962293
- Report Number(s):
- LA-UR-09-01251; LA-UR-09-1251; TRN: US200919%%57
- Resource Relation:
- Conference: JMP TCG-XIV Meeting ; March 10, 2009 ; Albuquerque, NM
- Country of Publication:
- United States
- Language:
- English
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