Identification of Eggshell Crack using BPNN and GANN in Dynamic Frequency Analysis
-
Zhenbo Wei
and
Xiaojing Tian
Abstract
The eggshell crack was detected using flexible piezoelectric film sensors on the basis of dynamic frequency response. The response signal was transformed from the time domain to the frequency domain using fast Fourier transform algorithm. In the normalized power spectrum, the first 10 and 20 features were extracted by interval frequency (IFM), maximum magnitude in turn (HVM), and frequencies by magnitude in turn (MVF). The discrimination between intact eggs and cracked eggs was performed using back-propagation neural network (BPNN) and combination of genetic algorithm and BPNN (GANN). The results were found that intact eggs and cracked eggs could be better identified from their dynamic frequency response using BPNN and GANN based on HVM and MVF. It is suggested that intact and cracked eggs can be distinguished using GANN based on 10 features in MVF.
Acknowledgments
The authors acknowledge the financial support of the Chinese National Foundation of Nature and Science through Projects 30570449 and 30771246.
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©2014 by Walter de Gruyter Berlin / Boston
Articles in the same Issue
- Frontmatter
- Review Article
- The Effect of Lactic Acid Bacteria in Food and Feed and Their Impact on Food Safety
- Research Articles
- Milk-Coagulating Extract Produced from Solanum aethiopicum Shum Fruits: Multivariate Techniques of Preparation, Thermal Stability and Effect on Milk Solids Recovery in Curd
- Optimal Removal of Experimental Points to Determine Apparent Thermal Diffusivity of Canned Products
- Mathematical Modelling of Heat Transfer in Mortadella Bologna PGI during Evaporative Pre-Cooling
- Preparation of Oxidized Starch Using Environment Friendly Chlorine Dioxide as Oxidant
- Assessment of Quality Attributes of Banana Slices Dried by Different Drying Methods
- Effects of High Hydrostatic Pressure Treated Mung Bean Starch on Characteristics of Batters and Crusts from Deep-Fried Pork Nuggets
- Exergy and Energy Analysis, Drying Kinetics and Mathematical Modeling of White Mulberry Drying Process
- Convective Drying of Apples: Kinetic Study, Evaluation of Mass Transfer Properties and Data Analysis using Artificial Neural Networks
- Identification of Eggshell Crack using BPNN and GANN in Dynamic Frequency Analysis
- Optimization of Osmotic Dehydration of Seedless Guava (Psidium guajava L.) in Sucrose Solution using Response Surface Methodology
- Effects of Screw Speed and Sesame Cake Level on Optimal Operation Conditions of Expanded Corn Grits Extrudates
- Evaluation and Optimization of Steam and Lye Peeling Processes of Sweet Potato (Ipomea batatas) using Response Surface Methodology (RSM)
- Physical Properties of Naked Oat Seeds (Avena nuda L.)
Articles in the same Issue
- Frontmatter
- Review Article
- The Effect of Lactic Acid Bacteria in Food and Feed and Their Impact on Food Safety
- Research Articles
- Milk-Coagulating Extract Produced from Solanum aethiopicum Shum Fruits: Multivariate Techniques of Preparation, Thermal Stability and Effect on Milk Solids Recovery in Curd
- Optimal Removal of Experimental Points to Determine Apparent Thermal Diffusivity of Canned Products
- Mathematical Modelling of Heat Transfer in Mortadella Bologna PGI during Evaporative Pre-Cooling
- Preparation of Oxidized Starch Using Environment Friendly Chlorine Dioxide as Oxidant
- Assessment of Quality Attributes of Banana Slices Dried by Different Drying Methods
- Effects of High Hydrostatic Pressure Treated Mung Bean Starch on Characteristics of Batters and Crusts from Deep-Fried Pork Nuggets
- Exergy and Energy Analysis, Drying Kinetics and Mathematical Modeling of White Mulberry Drying Process
- Convective Drying of Apples: Kinetic Study, Evaluation of Mass Transfer Properties and Data Analysis using Artificial Neural Networks
- Identification of Eggshell Crack using BPNN and GANN in Dynamic Frequency Analysis
- Optimization of Osmotic Dehydration of Seedless Guava (Psidium guajava L.) in Sucrose Solution using Response Surface Methodology
- Effects of Screw Speed and Sesame Cake Level on Optimal Operation Conditions of Expanded Corn Grits Extrudates
- Evaluation and Optimization of Steam and Lye Peeling Processes of Sweet Potato (Ipomea batatas) using Response Surface Methodology (RSM)
- Physical Properties of Naked Oat Seeds (Avena nuda L.)
