基于振动及EEMD-CMAC算法的鸭蛋散黄在线检测

针对鸭蛋长期存储以及运输过程中造成的散黄问题,构建一种基于振动信息的鸭蛋散黄在线检测流水线,可实现鸭蛋的自动触压和随动检测。通过磁致伸缩振子对鸭蛋扫频振动进行音频信息增强,对音频振动信号进行集合经验模态分解,并通过主成分分析进行降维提取主要特征,基于此,构建基于小脑神经网络的鸭蛋散黄检测模型。试验中,对320枚鸭蛋进行检测（训练集200枚,测试集120枚）,结果表明,基于累积贡献率达98.14%的前5个主成分的鸭蛋散黄检测模型训练集和测试集识别率分别达98.66%和97.03%,每枚鸭蛋在线检测时间约1 s。研究表明,所研制的检测流水线基于磁致伸缩振子扫频激励未知品质鸭蛋,再结合EEMD-CM...

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Bibliographic Details
Published in农业工程学报 Vol. 32; no. 21; pp. 282 - 289
Main Author 卢伟 丁婧 罗慧 王玲 代德建
Format Journal Article
LanguageChinese
Published 南京农业大学工学院/江苏省现代设施农业技术与装备工程实验室,南京,210031 2016
Subjects
小脑神经网络（CMAC）
无损检测
模型
算法
集合经验模态分解（EEMD）
鸭蛋散黄
ensemble empirical mode decomposition(EEMD)
算法
nondestructive examination
algorithms
models
鸭蛋散黄
scattered egg
模型
cerebella model articulation controller (CMAC)
集合经验模态分解(EEMD)
无损检测
小脑神经网络(CMAC)
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2016.21.039

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Summary:针对鸭蛋长期存储以及运输过程中造成的散黄问题,构建一种基于振动信息的鸭蛋散黄在线检测流水线,可实现鸭蛋的自动触压和随动检测。通过磁致伸缩振子对鸭蛋扫频振动进行音频信息增强,对音频振动信号进行集合经验模态分解,并通过主成分分析进行降维提取主要特征,基于此,构建基于小脑神经网络的鸭蛋散黄检测模型。试验中,对320枚鸭蛋进行检测（训练集200枚,测试集120枚）,结果表明,基于累积贡献率达98.14%的前5个主成分的鸭蛋散黄检测模型训练集和测试集识别率分别达98.66%和97.03%,每枚鸭蛋在线检测时间约1 s。研究表明,所研制的检测流水线基于磁致伸缩振子扫频激励未知品质鸭蛋,再结合EEMD-CMAC进行鸭蛋散黄检测是可行的,可满足流水线在线检测的要求。
Bibliography:11-2047/S
Lu Wei, Ding ling, Luo Hui, Wang Ling, Dai Dejian （College of Engineering, Jiangsu Province Engineering Laboratory of Modern Facility Agriculture Technology and Equipment, Nanjing Agricultural University, Nanjing 210031, China）
nondestructive examination; algorithms; models; ensemble empirical mode decomposition（EEMD）; cerebella model articulation controller（CMAC）; scattered egg
Aiming at solving duck egg scattered-yolk problem during transport or the long-term storage, a method is proposed which is a duck egg online non-destructive testing based on vibration information. At the moment, for lack of online non-destruction detection researches for scattered-yolk problem in duck egg＇ pipeline in domestic and international sections. Eggs during packaging, processing and transportation link prone to yolk scattered, and result in the decrease of freshness, which makes necessary to pick the scattered egg out timely to avoid flowing into the market. Aiming at the difficult problem of the detection for scattere
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2016.21.039