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Verwertbare Ergebnisse
The project has shown that resonance spectroscopy, when used to test a whole sample (global testing) and when a neural network is used for interpretation is an intrinsically simple test and can be used successfully to assess the mechanical quality of industrial components. It involves no surface scanning and no operator is needed to interpret data. The project has also shown that resonance spectroscopy can be used successfully for local testing with a neural network for interpretation. The output of the neural network can be as simple as either pass or fail. The only manipulation of the object required is to place the transducer pair in contact with the sample for the test. For these reasons resonance spectroscopy has considerable potential to be a highly cost-effective tool of quality assurance of industrial parts made on a production line. Resonance spectroscopy has been much less successful when it is used without an effective aid to interpretation, when that the operator is substantially responsible for deciding the quality of the inspected component and it cannot be recommended for use in this particular way.
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