Leveraging AI-assisted modal analysis

Structural dynamics testing is increasingly challenged by complex test setups, high data volumes, compressed development timelines and a shortage of domain experts. Traditional experimental modal analysis (EMA) methods rely heavily on manual pole selection and expert-driven mode validation, processes that are time-consuming, error-prone and difficult to scale. These limitations introduce inconsistencies and hinder the acceleration of product development cycles.

Produce reliable, repeatable and expert-quality modal models quickly and efficiently

Simcenter™ Testlab™ software addresses these challenges with an artificial intelligence assisted modal analysis approach that integrates machine learning (ML) with intelligent automation. Read this while paper to learn more on how AI-assisted modal analysis blends data-driven pattern recognition with expert logic, enabling AI-driven mode selection and intelligent validation.