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Online detection of cracked eggs based on
acoustic resonance analysis |
1.School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2.Key Laboratory for Physical Processing of Agricultural Products of Jiangsu Province, Zhenjiang, Jiangsu 212013; 3.School of Mechanical and Automotive Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China |
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Abstract An online system was developed based on acoustic resonance with digital signal processing (DSP, TMS320C5509A) system for eggshell crack detection. Signal acquisition and processing, automatic impact and upper computer sub modules were improved to meet the requirements of automatic and industrialized production. Acoustic signals of egg were motivated, acquired and processed by the proposed system. Based on experiments, differences between the signals of intact and cracked eggs were analyzed by spectral analysis. Five egg excitation resonant characteristics of zeropass points in time signal, the frequency bands and amplitudes of the first two characteristic peaks in frequency signal were used as input vectors of identification model to discriminate intact and crack eggs. The results show that the identification rates of cracked eggs and the detecting speed can reach above 90% and 4 eggs per second, respectively. The proposed system has significant potential for online detection of cracked eggs.
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Received: 30 October 2014
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