Abstract
The cracked-shell detection of preserved eggs based on acoustic response and bayes theory in mechanical engineering was implemented. The acoustic response signals were captured and analyzed based on power spectrum and five parameters (the area of the power spectrum, the amplitude of resonance peak, the formant frequency, the average amplitude of resonance peak, the range of amplitude of resonance peak) were extracted as characteristic parameters. The discriminative models were established by bayes theory. The testing result shows that the method is capable of the cracked-shell detection of preserved eggs with best classification accuracy was 87.5%.
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