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Paper Information

Journal:   IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)   FALL 2016 , Volume 47 , Number 3; Page(s) 425 To 430.
 
Paper: 

FLOW RATE DETERMINATION OF GRANULAR MATERIAL BY USE OF SOUND AND MULTIVARIATE DATA ANALYSIS

 
 
Author(s):  BAHRAMI GHASEM, KIANI SAJJAD*
 
* BIOSYSTEMS ENGINEERING DEPARTMENT, TARBIAT MODARRES UNIVERSITY, TEHRAN, IRAN
 
Abstract: 

Throughout the present study, making use of sound created by wheat grain passing through a pipe, wheat flow rate was measured. The developed device consists of a hopper, metering device, sound sensor, delivery tube, DC motor as well as power supply. Several wheat mass flow rates were tested and the sound signals created through the passage of the grain through the discharge tube was measured and transferred to a computer using Data Acquisition Card (DAC). Utilizing MATLAB signal processing toolbox and wavelet transfer functions, it was possible to extract frequency characteristics of the sound signals used as the distinguishing features of the different flow rates. Artificial Neural Networks-Multilayer Perceptron (ANNMLP) and Discriminate Analysis (DA) were applied to classify different wheat flow rates. Results indicated that through an application of DA vs ANN-MLP it was possible to determine different wheat flow rates with respective accuracies of 97% and 89%.

 
Keyword(s): FLOW RATE, WHEAT GRAIN, SOUND PROCESSING, WAVELET TRANSFORM, PRECISION FARMING
 
References: 
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