Affiliation:
1. Óbuda University , Bánki Donát Faculty of Mechanical and Safety Engineering, Institute of Mechatronics and Vehicle Engineering , Budapest , Hungary
Abstract
Abstract
In this paper, we investigate the characteristics of an object’s vibration in identifying its material of construction. A simple vibration test is performed to classify different types of materials. The test is done by performing small hammer excitation on the object then recording its vibration using one acceleration sensor. Four different materials were tested (steel, hardwood, softwood, and plastic). The vibration signal was analyzed using MATLAB based model. The trained model was able to recognize the testing samples of each material. The advantages of this method are that it is accurate, fast and simple, can be performed on-site and is relatively inexpensive.
Publisher
Muszaki Tudomanyos Kozlemenyek
Subject
General Arts and Humanities
Reference8 articles.
1. [1] Hola J., Bien J., Sadowski L., Schabowicz K.: Non-destructive and semi-destructive diagnostics of concrete structures in assessment of their durability. Bulletin of the Polish Academy of Sciences - Technical Sciences 63/1. (2015) 87-96. https://doi.org/10.1515/bpasts-2015-001010.1515/bpasts-2015-0010
2. [2] Al Janaideh M., Krejčí P.: Inverse Rate-Dependent Prandtl Ishlinskii Model for Feedforward Compensation of Hysteresis in a Piezomicropositioning Actuator, IEEE/ASME Transactions on Mechatronics, 18/5. (2013) 1498-1507. https://doi.org/10.1109/TMECH.2012.220526510.1109/TMECH.2012.2205265
3. [3] Zhenyan W., Zhen Z., Kemin Z.: Precision Tracking Control of Piezoelectric Actuator using a Hammerstein-based Dynamic Hysteresis Model. 2016 35th Chinese Control Conference (CCC), 796-801.
4. [4] Yong Y. P. A., Hurley N. J., Silvestre G. C. M.: Single-trial EEG classification for brain-computer interface using wavelet decomposition. European Signal Processing Conference, EUSIPCO 2005.
5. [5] Shahid V. N., Perraudin N., Kalofolias V., Puy G., Vandergheynst P.: Fast robust pca on graphs. IEEE Journal of Selected Topics in Signal Processing, 10/4. (2016) 740–756.10.1109/JSTSP.2016.2555239
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