Air and structure-borne sound analysis with AI in production
A test system uses machine learning to combine mathematical calculation functions with classification data sets. The result: acoustic verification of the manufacturing process of mechatronic components by body as well as airborne sound in the presence of loud ambient noise!
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Noise analysis in the manufacturing process of products is a proven quality assurance measure. With the aid of structure-borne sound, conclusions can be drawn about the synchronization and assembly quality of moving systems. An assessment of sound quality, i.e. whether a sound is perceived as pleasant and typical or as unusual and disturbing, can only be determined on the basis of airborne sound. Test systems based on structure-borne sound are already in use in production. However, in order to detect noise patterns in airborne sound, new methods need to be established in the manufacturing process.
A new generation of acoustic test systems from GÖPEL electronic is to meet the requirements of customers who want to analyze their production acoustically based on airborne sound in addition to structure-borne sound. In the new generation, the objective analysis of products by predefined mathematical algorithms is extended by a subjective evaluation by means of psychoacoustic measurement methods and artificial intelligence. Noise in production no longer has a significant influence on the acoustic analysis due to the use of AI.