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首页> 外文期刊>Computers and Electronics in Agriculture >Microphone system optimization for free fall impact acoustic method in detection of rice kernel damage.
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Microphone system optimization for free fall impact acoustic method in detection of rice kernel damage.

机译:用于跌落冲击声学方法的麦克风系统优化,用于检测稻粒损伤。

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摘要

An impact acoustic free-fall setup was developed to distinguish the difference between the frequency of undamaged and damaged rice kernels using frequency analysis. The study determined the different design parameters of the impact acoustic system that would classify undamaged and damaged rice kernel for a particular/specific microphone. Two cardiods and one hypercardiod (AKG CK 91, Neumann KM 184, and Shure Beta 58A) microphones were used for this study. All three microphones underwent the experimental test which determined the appropriate distance of each microphone, and drop height of the samples from each impact surface (acrylic glass and metal). Results produced different peak amplitude outputs for each acoustic setup. The study also showed distinct frequency signature for both undamaged and damaged kernels. Validation experiments produced 93.3%, 91.1%, and 88.9% recognition accuracy for the three microphones, respectively. All rights reserved, Elsevier.
机译:开发了一种撞击声自由落体装置,以使用频率分析来区分未损坏和受损稻米的频率之间的差异。该研究确定了撞击声系统的不同设计参数,这些参数将针对特定/特定传声器的未损坏和受损的稻仁进行分类。这项研究使用了两个心音和一个超心音(AKG CK 91,Neumann KM 184和Shure Beta 58A)麦克风。所有三个麦克风都进行了实验测试,该实验确定了每个麦克风的适当距离以及样品从每个撞击表面(丙烯酸玻璃和金属)的掉落高度。结果为每种声学设置产生了不同的峰值幅度输出。该研究还显示了未损坏和受损内核的独特频率签名。验证实验对这三个麦克风分别产生了93.3%,91.1%和88.9%的识别精度。保留所有权利,Elsevier。

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