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鸡蛋敲击响应特性与蛋壳裂纹检测
引用本文:姜瑞涉,王俊,陆秋君,于勇.鸡蛋敲击响应特性与蛋壳裂纹检测[J].农业机械学报,2005,36(3):75-78.
作者姓名:姜瑞涉  王俊  陆秋君  于勇
作者单位:1. 浙江大学生物系统工程与食品科学学院,硕士,310029,杭州市
2. 浙江大学生物系统工程与食品科学学院,教授,博士生导师
3. 浙江大学生物系统工程与食品科学学院,副教授
4. 浙江大学生物系统工程与食品科学学院,博士生
基金项目:国家自然科学基金资助项目 (项目编号 :3 0 170 5 3 3 ),浙江省自然科学基金资助项目 (项目编号 :M3 0 3 446),教育部“新世纪优秀人才支持计划”资助项目
摘    要:鸡蛋经敲击激励后用传感器获取时域特性信号,并进行信号频域分析。结果表明,无裂纹鸡蛋的频域特征有相似的规律性。存在一个较明显的主频率值。峰值突出;有裂纹鸡蛋频域特征无规律性,没有明显的主频率值。峰值较紊乱;裂纹蛋上不同测点的频域特性有较大差异。提出了检测鸡蛋裂纹的主要参数:主频率值、功率谱平均值、归一化功率谱平均值、x轴及y轴质心等。主频率值、功率谱平均幅值、归一化功率谱平均幅值等参数可以用于检测鸡蛋有无裂纹,其中采用主频率值、归一化功率谱平均幅值检测时精度较高。

关 键 词:功率谱  时域特性  信号  频域特性  敲击  归一化  响应特性  鸡蛋  蛋壳  裂纹蛋
修稿时间:2003年7月14日

Eggshell Crack Detection by Frequency Analysis of Dynamic Resonance
Jiang Ruishe,Wang Jun,Lu Qiujun,Yu Yong.Eggshell Crack Detection by Frequency Analysis of Dynamic Resonance[J].Transactions of the Chinese Society of Agricultural Machinery,2005,36(3):75-78.
Authors:Jiang Ruishe  Wang Jun  Lu Qiujun  Yu Yong
Institution:Zhejiang University
Abstract:In this research, an experimental system was setup to generate impact forces, me asure response signal, and analyse frequency spectrum. The eggshell hairline cra ck was detected by analysis of the dynamically measured frequency response of an egg excited with a light mechanical impact on different locations of the eggshe ll. As a result of the analysis, a dominant resonance frequency was observed and the frequency value was low for intact eggs; while for cracked eggs, the magnit udes of some peak frequency were closer, and the frequency value was high. The r esonant frequency spectra and the dominant frequency variation are dependent on the relative position of excitation point towards the location of the crack on t he shell. The excitation resonant frequency characteristic of a crack egg may be consistent with that of an intact egg, if the detected point was far from the c rack positions. The dominant frequency, average or normalization average of freq uency spectrum could be used for classifying the intact and cracked eggs, and th e dominant frequency and normalization average of frequency spectrum had a high test preciseion than the others for classification.
Keywords:Egg  Resonance frequency  Crack  Detection
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