RBD Workbench — Monte Carlo reliability and availability

Mermaid RBD

6 nodes · 5 edges

IDs map to the parameter table. Circle nodes are pass-through. Put redundant units in a subgraph, then set k-of-n on the equipment card.

Live diagram

After Run: loads color vs the R(t) target; other blocks heat by unavailability share.

IDNameAi
atsATS0.99396
genDiesel generator0.99243
loadCritical load
pass-through
1.00000
pduPDU1.00000
upsUPS0.99892
utilUtility feeder0.99977

Select a block in the diagram or table to edit parameters.

Analytical (series-parallel reduction) Ai = 0.992880 · non-repairable R(t) = 0.782298

Run Monte Carlo to estimate inherent availability, expected downtime, R(t), and which blocks drive unavailability.

Independent failures · exponential unless β ≠ 1 · inherent Ai (no logistics) · Ps at t = 0. ·@njivy