Resumen
The results of this study can be used in nondestructive quality inspection of serial parts by analyzing their eigenfrequencies via acoustic resonance testing. Representative and valid training data are mandatory to identify suitable acoustic test characteristics for each application of this method. With the given approach, a much more efficient way for generating appropriate training data is described compared to the usual procedure. Consequently, the novel approach suggested here allows us not only to save time and costs during a training procedure but also results in higher reliability when using acoustic resonance testing.