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《Chinese Journal of Sensors and Actuators》 2009-07
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Detection of Egg Cracks by Short-Time Fourier Transform

PING Jianfeng,WU Jian,YING Yibin School of Biosystem Engineering and Food Science,Zhejiang University,Hangzhou 310029,China  
Presently,acoustic technique is the most potent one of techniques applied to detect egg cracks,which classifies eggs through making use of the differences between intact eggs and cracked eggs in impulse response. In this research,preamplifier and A/D conversion chip are utilized to collect signals from the knocked eggs,then the collected time signals are analyzed in frequency field. In comparison to traditional Fourier analysis,this research utilizes time-frequency technique,i.e. short-time Fourier transform,to analyze egg response signals,and sets up relevant classification model. Experiments show that this model has high identification rate in detection of cracked eggs,thus this technique provides new and available method for nondestructive detection of eggs in practice.
【Fund】: 国家科技支撑计划资助(2006BAD11A12);; 国家自然基金资助(30670535);; 教育部“新世纪优秀人才支持计划”基金项目(NCET-07-0752)
【CateGory Index】: TP274.4
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