基于振动及EEMD-CMAC算法的鸭蛋散黄在线检测  

Online detection of scattered duck egg based on vibration and EEMD-CMAC

作　　者：卢伟[1] 丁婧[1] 罗慧[1] 王玲[1] 代德建[1] 

机构地区：[1]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

出　　处：《农业工程学报》2016年第21期282-289,共8页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金青年基金项目(61401215);江苏省自然科学基金项目(BK20130696);中央高校基本科研业务经费专项资金项目(KYZ201427)

摘　　要：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。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 scattered egg, in this study, we conducted a nondestructive experiment to detect scattered egg effectively by use of combinations of two ways. On the one hand, information of scattered egg was strengthened by putting the magnetostrictive vibrator frequency sweep vibration enhanced audio information; and on the other, multi-dimensional information was analyzed by using the acoustic method.The research was based on the egg detection pipeline system whose central unit is a tailor-made press structure. The pipeline system is controlled by PC software Programmed based on LabW indows／CVI platform. By the connection between upper machine and lower machine, controlling the press structure cooperate with production line to realize detection. Egg can be detected under a constant pressure automatically when it is coming. Experiments were carried out on 100 fresh eggs and 100 scattered eggs. Since the vibration was stationary random signal when eggs in contact with the magnetostriction. Ensemble Empirical Mode Decomposition（EEMD） analysis is suitable for nonlinear and non-stationary signal. Then, in this range, we collected voice band signals of fresh egg or scattered one. The voice band signals were analyzed by combing EEMD analysis with PCA（Principle Component Analysis） primary element analysis. Under the different pressure, the energy spectrum entropies of fresh egg and scattered egg were extrac

关 键 词：无损检测 算法 模型 集合经验模态分解(EEMD) 小脑神经网络(CMAC) 鸭蛋散黄 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]