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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/14061

Title: The classification of material mechanical properties using non-destructive vibration technique
Authors: Intan Maisarah, Abd Rahim
Fauziah, Mat
Sazali, Yaacob, Prof. Dr.
Rakhmad, Arief Siregar
???metadata.dc.contributor.url???: umaisarah_138@yahoo.com
fauziah@unimap.edu.my
sazali22@yahoo.com
rakhmadarief@gmail.com
Keywords: Frequency Response Function;K-Nearest Neighbor;Vibration analysis;Vibration technique
Issue Date: 4-Mar-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 202-206
Series/Report no.: Proceedings of the 7th International Colloquium on Signal Processing and Its Applications (CSPA 2011)
Abstract: This study is to develop a system of a non-destructive testing on the material to define the mechanical properties of material. The study focused on experimental and testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, k-Nearest Neighbor classifier is developed to work as a system to classify the materials tested according to their mechanical properties. The result from the classification system shows that k-NN is giving the accuracy of 99.79783 % with the k value of 1.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5759873&tag=1
http://hdl.handle.net/123456789/14061
ISBN: 978-161284414-5
Appears in Collections:Conference Papers
Sazali Yaacob, Prof. Dr.

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