Download: AVL White Paper – From Legacy Durability Testing to Usage-Oriented Validation

Modern engine development faces growing complexity that traditional, standardized validation cycles can no longer address. Increasing application diversity, hybrid concepts, and real‑world usage patterns often lead to test programs that are either inefficient or fail to capture critical failure mechanisms.

AVL addresses this with a data‑driven, application‑oriented validation methodology that replaces generic test cycles with tailored programs derived from real‑world usage data. By combining failure mode knowledge, damage models, big‑data analytics, and AI‑supported Usage Space Analysis, testing better reflects actual operating conditions.

The result is more efficient and representative validation: reduced test effort, improved coverage of critical failure modes, and transparent links between field data, requirements, and test content – enabling faster, more cost‑effective, and more reliable product development.