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Articles by Mahmoud Omid
Total Records ( 2 ) for Mahmoud Omid
  Mahmoud Omid , Asghar Mahmoudi and Mohammad H. Omid

An intelligent pistachio nut sorting system combining acoustic emissions analysis, Principal Component Analysis (PCA) and Multilayer Feedforward Neural Network (MFNN) classifier was developed and tested. To evaluate the performance of the system 3200 pistachio nuts from four native Iranian pistachio nut varieties were used. Each variety was consisted of 400 split-shells and 400 closed-shells nut. The nuts were randomly selected, slide down a chute, inclined 60° above the horizontal, on which nuts slide down to impact a steel plate and their acoustic signals were recorded from the impact. Sound signals in the time-domain are saved for subsequent analysis. The method is based on feature generation by Fast Fourier Transform (FFT), feature reduction by PCA and classification by MFNN. Features such as amplitude, phase and power spectrum of sound signals are computed via a 1024-point FFT. By using PCA more than 98% reduction in the dimension of feature vector is achieved. To find the optimal MFNN classifier, various topologies each having different number of neurons in the hidden layer were designed and evaluated. The best MFNN model had a 40–12–4 structure, that is, a network having one hidden layer with 40 neurons at its input, 12 neurons in the hidden layer and 4 neurons (pistachio varieties) in the output layer. The selection of the optimal model was based on the examination of mean square error, correlation coefficient and correct separation rate (CSR). The CSR or total weighted average in system accuracy for the 40–12–4 structure was 97.5%, that is, only 2.5% of nuts were misclassified.

  Seyed Ahmad Mireei , Seyed Saeid Mohtasebi , Mahmoud Omid and Reza Alimardani

This research presents dynamic and vibrating analysis of Budsan truck engine mount. First the system equations are presented and solved by MATLAB. After that, the dynamic forces exerted on the system are obtained and used for the harmonic analysis. Then the FEM results are compared with analytical model results to verify analytical model. Finally, the optimum stiffness as well as the damping of the system are presented and discussed to reduce the system vibration and avoid the resonance phenomena. The results show that an increase in the stiffness of the system from 2943 to 5500 kN would reduce the displacement from 7 to 3.5 mm and an increase of the stiffness to 5500 kN and a hysteresis from 0.285 to 0.5 could reduce the displacement from 7 to 2 mm.

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