The registry: one value, every consumer
A failure rate computed in Prediction lands in the FMECA, the RBD and the fault tree without being retyped. Change it at the source and watch every consumer follow, traceably.
Demo Library
Every demo here is a real analysis walked end to end on a live system model — no slideware, no canned screenshots. Recordings are in production; until they land, each demo is given live on a call, on your use case.
How it works
A failure rate computed in Prediction lands in the FMECA, the RBD and the fault tree without being retyped. Change it at the source and watch every consumer follow, traceably.
A system reliability goal apportioned down the product structure, with the resulting budgets feeding straight into the fault tree's probability targets.
MIL-HDBK-217F Notice 2 parts-stress on a real electronics assembly — and the moment a λ moves, the registry carries it to every downstream analysis.
Task 101 and 102 worksheets built on items and failure rates streamed from Prediction — criticality rankings that update when the λs do, not when someone re-keys them.
A quantitative tree whose basic events subscribe to mode failure rates from the FMECA. Cut sets, importance measures and probability budgets re-quantify as the sources change.
Series, parallel and k-out-of-n blocks over the same system model the other analyses use — availability computed from failure rates nobody had to copy across.
Component stresses checked per part against approved derating profiles, with every violation traced back to the same items the prediction runs on.
Tell us what you build and which analyses carry the burden today. We'll walk the relevant demos live on a call and take the hard questions as they come.