Perdura connects reliability requirements, prediction, test planning, life and field data, system risk, maintenance, and reporting in one workspace. Results retain their assumptions, uncertainty, diagnostics, and source analysis so engineers can judge whether an answer is adequate for the decision—not merely whether a calculation completed.
Perdura checks model identity, equations, capability coverage, statistical calibration, adverse numerical regimes, and end-to-end result semantics. Standards implementations identify their mapped scope and exclusions; unsupported inference is disclosed rather than silently presented as an ordinary result.
Use a consistent project model to turn requirements, test results and field observations into estimates, risk priorities, test plans and maintenance decisions.
Estimate reliability from complete and censored life data, with eligibility checks, fit diagnostics and uncertainty.
Review method →Relate life to environmental and use stresses, then extrapolate reliability at conditions of use.
Review method →Apply scoped part-stress, quality, environment and derating rules to estimate component and system failure rates.
Review method →Model system configurations and quantify reliability, path sets and component importance.
Review method →Evaluate top-event risk, minimal cut sets and contributor importance with fault trees.
Review method →Quantify maintainability and availability; optimize PM intervals, spares and life-cycle cost.
Review method →Characterize data, test stated hypotheses and compare predictive models under explicit evaluation rules.
Review method →Evaluate measurement systems, process stability and capability, DOE effects and predictive performance.
Review method →Named projects retain inputs, units, models, results and analysis relationships across modules. The Report Builder combines plots, tables, method context and engineering rationale into paginated PDF or interactive HTML. Optional verification packages bind exported bytes to software, project and analysis metadata using deterministic SHA-256 records.
Download a packaged release with its build evidence for Linux, macOS or Windows. Build from source when the implementation itself is part of the review.
