Identification of eggshell crack using multiple vibration sensors and correlative information analysis

Abstract

AbstractTimely detection of cracks eggs is of great significance in egg production and processing. This article presents a novel method for egg crack detection using multiple vibration sensors analysis. Three accelerated vibration sensors were located on different directions of shell eggs. Signals collection was achieved by impaction of different regions of shell eggs through vibration sensors. Characteristics from each vibration sensor and their corresponding correlation information were analyzed. Distinguish index (D.I.) values were employed for evaluation of the selected effective characteristics, and then were inputted into linear discrimination analysis model. The rates for identification of cracked eggs ranged from 83.75 to 93.75% in prediction set when the vibration sensor was impacted twice on the surface of shell eggs. Based on the results, it was concluded that multiple vibration sensors analysis has significant potential for cracked eggs detection with convenient and effective way.Practical applicationsCracks on eggshell are commonly produced by mechanical stress during packing and/or transportation. Storage life would be shortened and consequently result in significant economic loss. Therefore, the timely detection of cracks on eggshell is of great significance. This article presents a novel method for egg crack detection by using multiple vibration sensors analysis, to replace the conventional multiple impacting acoustic resonance analysis. The research data presents a potential way for fast, non‐destructive and effective detection of crack in egg industry.