Data management and mining for NVH test data form the core data backbone of digital automotive NVH development and a vital driver for OEMs to boost R&D efficiency.

Automakers generate massive NVH test data under idling, acceleration, constant speed and other working conditions throughout vehicle development. Standardized data management classifies and archives information by project, field, test vehicle and test status, building a reusable R&D database. It provides references for new project targets and data support for various design alternatives.

Big data and AI technologies unlock deeper data value by revealing underlying NVH performance patterns across vehicle models. Fast statistical analysis of test data replaces repetitive manual work, matching the fast iteration pace of automotive R&D.