Relationship between dynamic resonance frequency and egg physical properties

Wang, J; Jiang, Ruishe; Yu, Yonghua

doi:10.1016/j.foodres.2003.09.004

Cited by 26 publications

(23 citation statements)

References 6 publications

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“…At the same time this frequency is signifi cantly aff ected by the position of the point of the excitation. This conclusion is not valid for chicken eggs (Wang et al, 2004).The experimental results confi rm that the eggshell strength is a function of the dynamic stiff ness (De Ketelaere et al, 2002). The eggshell is than signifi cantly dependent on the…”

Section: : Surface Displacement Of the Eggshell Loaded At The Point Amentioning

confidence: 85%

“…The frequency response function exhibits a maximum at the frequency which is denoted as resonant or dominant frequency (Wang et al, 2004). Its value,  max is then used to calculate the dynamic eggshell stiff ness (k dyn ).…”

Section: : Surface Displacement Of the Eggshell Loaded At The Point Amentioning

confidence: 99%

“…This problem was solved e.g. by Wang et al (2004). In this research, eggs were excited by pendulum on the sharp side or fi lm sensors on the diff erent sides the hip side or the equator, and the response signals were detected by fl exible piezoelectric, respectively.…”

mentioning

confidence: 99%

“…Owing to this fact the dominant frequency should be dependent on the point of loading. It means results obtained by Wang et al (2004) should be reexamined. For the next analysis the four frequency features have been used (Wang and Jiang, 2005): the normalization average of the frequency domain (defi ned by (3)), the fi rst dominant frequency that is the frequency of the highest peak (defi ned by (4)), the average x-and y-coordinates of the centroid for the frequency domain (defi ned by (5) and (6), respectively):…”

mentioning

confidence: 99%

See 3 more Smart Citations

Vibration properties of the Ostrich eggshell at impact

Trnka¹,

Stoklasová²,

Strnková³

et al. 2013

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Section: : Surface Displacement Of the Eggshell Loaded At The Point Amentioning

confidence: 85%

Section: : Surface Displacement Of the Eggshell Loaded At The Point Amentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Vibration properties of the Ostrich eggshell at impact

Trnka¹,

Stoklasová²,

Strnková³

et al. 2013

Acta Univ. Agric. Silvic. Mendelianae Brun.

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show abstract

“…Kemps et al (2004) Calculated the elasticity modulus based on the resonant frequency of a curved shell segment. Wang et al (2004) established the relationship between the dominant frequency and the egg physical properties. Jindal et al (2003) employed ANN model to detect cracked eggs.…”

mentioning

confidence: 99%

Eggshell crack detection based on acoustic impulse response and supervised pattern recognition

Hao¹,

Zhao²,

Chen³

et al. 2009

Czech J. Food Sci.

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Lin H., Zhao J., Chen Q., Cai J., Zhou P. (2009): Eggshell crack detection based on acoustic impulse response and supervised pattern recognition. Czech J. Food Sci., 27: 393-402.A system based on acoustic resonance was developed for eggshell crack detection. It was achieved by the analysis of the measured frequency response of eggshell excited with a light mechanism. The response signal was processed by recursive least squares adaptive filter, which resulted in the signal-to-noise ratio of the acoustic impulse response reing remarkably enhanced. Five features variables were exacted from the response frequency signals. To develop a robust discrimination model, three pattern recognition algorithms (i.e. K-nearest neighbours, artificial neural network, and support vector machine) were examined comparatively in this work. Some parameters of the model were optimised by cross-validation in the building model. The experimental results showed that the performance of the support vector machine model is the best in comparison to k-nearest neighbours and artificial neural network models. The optimal support vector machine model was obtained with the identification rates of 95.1% in the calibration set, and 97.1% in the prediction set, respectively. Based on the results, it was concluded that the acoustic resonance system combined with the supervised pattern recognition has a significant potential for the cracked eggs detection.

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Nondestructive Testing System for Eggshells Based on DSP

Jiang

Liu

et al.

Computer and Computing Technologies in Agriculture, Volume II

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In order to check and eliminate the cracked eggs quickly and exactly in the TMS320VC33 DSP as a hardware platform, and has many functions such as controlling knock-equipment, sampling and processing the acoustics signals, judging the cracked-shell eggs, communicating with the host computer etc. In order to improve the detecting accuracy, 6 characteristic parameters were extracted in cepstrum domain besides the common used characteristic parameters in frequency domain as candidate distinguishing factors. Step discriminant was used to optimize the combination of these characteristic then established the optimum discriminant functions of normal eggshells and cracked eggshells respectively according to the step discriminant result. The accurate recognition ratio for cracked eggs is up to 95.5 percent, and the system can check 12 eggs per sec, which satisfied the requirements of the process of egg products.

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Relationship between dynamic resonance frequency and egg physical properties

Cited by 26 publications

References 6 publications

Vibration properties of the Ostrich eggshell at impact

Vibration properties of the Ostrich eggshell at impact

Eggshell crack detection based on acoustic impulse response and supervised pattern recognition

Nondestructive Testing System for Eggshells Based on DSP

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