دورية أكاديمية

Eggshell crack detection based on the transient impact analysis and cross-correlation method

التفاصيل البيبلوغرافية
العنوان: Eggshell crack detection based on the transient impact analysis and cross-correlation method
المؤلفون: Li Sun, Pengqi Zhang, Siyu Feng, Min Qiang, Jianrong Cai
المصدر: Current Research in Food Science, Vol 4, Iss , Pp 716-723 (2021)
بيانات النشر: Elsevier, 2021.
سنة النشر: 2021
المجموعة: LCC:Nutrition. Foods and food supply
LCC:Food processing and manufacture
مصطلحات موضوعية: Eggshell, Crack, Transient impact analysis, Acoustic resonance, Cross-correlation analysis, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456
الوصف: To explore the transient impact process for cracked eggshell detection, an equivalent mechanical model was built based on a self-designed automatic excitation device. Through analysis of power spectrum from dynamic force signal, it was found that the impact speed affects only the impaction energy. In contrast, the material of the impact head and the weight of the excitation rod determine the energy and the cut-off frequency of the impaction. When the weight of impact tup is less than 6.62 g, the cut-off frequency of excitation impact can cover the egg's inherent frequency. Then, an optimized experiment system was designed to acquire the response acoustic signals. The cross-correlation analysis and Bayes classification methods were carried out to detect the cracked eggshell. In the conducted experiments, a crack detection level of 97% and a false rejection level of 1% were achieved. From the findings, it can be concluded that the proposed method will assist in optimizing the impact device and simplifying the classification algorithm for an online detection system.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2665-9271
Relation: http://www.sciencedirect.com/science/article/pii/S2665927121000782; https://doaj.org/toc/2665-9271
DOI: 10.1016/j.crfs.2021.09.012
URL الوصول: https://doaj.org/article/43abb7230bc24080bf9ab2896a0135a5
رقم الأكسشن: edsdoj.43abb7230bc24080bf9ab2896a0135a5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26659271
DOI:10.1016/j.crfs.2021.09.012