Pattern recognition of eggshell crack using PCA and LDA

The eggshell crack was detected with dynamic frequency response and an egg was excited by a light mechanical impact on different locations of the eggshell. The dominant resonance frequency can be observed using flexible piezoelectric film sensors. The results showed that some frequencies were higher for the cracked eggs, whereas the dominant frequency value was lower for the intact eggs. In normalized power spectrum, the first 10 or 20 features were extracted based on interval frequency (IFM), maximum magnitudes in turn (HVM) and frequencies by magnitudes in turn (MVF), and were used as input of pattern recognition algorithms The pattern recognition was conducted by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Intact egg and cracked egg could be distinguished by LDA and PCA using HVM and MVF. More distinguishing effects were obtained based on LDA using 10 MVFs.Industrial relevanceThe examination of cracks on eggshell was usually conducted by floodlighting before, but it gives eye fatigue, makes misjudgment and is not easy to detect hairline crack. The acoustic impulse response method was suggested in this research to measure hairline crack for eggshell using flexible piezoelectric film sensors. The result was found that the acoustic impulse response method can distinguish between intact egg and cracked egg. This research provides a technology detection of cracked egg.