Apart from functional and electric tests, testing for vibroacoustic tolerances is becoming increasingly common and sought after. Many OEMs demand adherence to vibroacoustic specifications in quality control from their suppliers. Furthermore, vibroacoustic measurements can be used very effectively to monitor production quality in a wide field of products. In this talk, we present a case study combining psychoacoustic pre-processing with high-performance AI models for real-time end-of-line quality control. All steps, including data acquisition, data preparation and training of the AI algorithms, are integrated within an easy-to-use suite of tools, significantly reducing the engineering effort required.

• Why is vibroacoustic quality control critical?
• Application of vibroacoustics in end-of-line testing
• Combination of psychoacoustics and AI algorithms