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      • Department of Electrical and Electronics Engineering
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      Separating nut-shell pieces from hazelnuts and pistachio kernels using impact vibration analysis

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      Author
      Habiboǧlu, Yusuf Hakan
      Sevimli, Rasim Akın
      Çetin, A. Enis
      Pearson, T.C.
      Date
      2013
      Source Title
      2013 21st Signal Processing and Communications Applications Conference (SIU)
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      In this article nut-shell pieces are separated from pistachio kernels and hazelnut kernels using impact vibration analysis. Vibration signals are recorded and analyzed in real-time. Mel-kepstral feature parameters and line spectral frequency values are extracted from the vibration signals. Feature parameters are classified using a Support Vector Machine (SVM) which was trained a priori using a manually classified data set. An average classification rate of 96:3% and 98:3%was achieved with Antepstyle Turkish pistachio nuts and hazelnuts. An important feature of the method is that it is easily trainable for other kinds of pistachio nuts and other nuts including walnuts. © 2013 IEEE.
      Keywords
      Impact vibration analysis
      Line spectral frequencies
      Mel-kepstral feature
      Classification rates
      Data set
      Feature parameters
      Important features
      Line spectral frequencies
      Mel-kepstral feature
      Pistachio nut
      Vibration signal
      Signal encoding
      Support vector machines
      Vibration analysis
      Permalink
      http://hdl.handle.net/11693/28004
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2013.6531171
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      • Department of Electrical and Electronics Engineering 3601
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