A Fractal-ANN approach for quality control
The main problem with modern quality control of sound speakers is that the process is conducted manually. This manual checking of the quality of sound speakers is time consuming. In order to find an automated way of doing this, this paper presents an intelligent system for automated quality control in sound speaker manufacturing, which fuses Fractal Dimension (FD) into Artificial Neural Networks (ANNs) system. The Artificial Neural Networks is used to classify the levels of the quality of sound speakers from SEAS, a Norwegian manufacturing company for sound speakers. The Fractal Dimension is used for reducing the complexity of the sound signals.
Hello I have another query,
Which is criteria to determine the thresholds among the four quality levels?
Regards,
Moises S.
Dear Kesheng Wang,
Thank you for submitting your paper.
It would be very helpful to understand your work, if you upload your presentation.
Do you consider that the difference of Fractal Dimension between signals is good enought discriminatory feature to determine the quality level of the test speaker signal?
Regards,
Moises S.