Raptor
more efficient. RAPTOR is an example of this approach applied to MIL-HDBK-217F reliability prediction. It
supports structured electronic component reliability analysis through reusable component data and automated
calculation workflows.
WHY RAPTOR
Reliability prediction remains a key activity in aerospace and mission-critical engineering, but many workflows
still rely heavily on spreadsheets, manual classification, and repeated interpretation of standards. RAPTOR is
part of ANZEN’s broader digital engineering vision, where safety, reliability, and model-based analysis activities
are increasingly connected through structured data and automation.
HOW RAPTOR WORKS
Curated component database
RAPTOR supports a workflow based on ANZEN’s curated electronic component database, where parts can be classified
according to MIL-HDBK-217F reliability prediction parameters. This approach reduces repetitive component
classification, improves consistency between projects, and makes reliability data easier to reuse across different
analyses.
Creating a component
MIL-HDBK-217F reliability prediction
RAPTOR supports electronic component reliability prediction based on MIL-HDBK-217F, including component
classification, calculation parameter management, and failure-rate estimation.
Computing a prediction
