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The classification of material mechanical properties using non-destructive vibration technique

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Main Authors: Intan Maisarah, Abd Rahim, Fauziah, Mat, Sazali, Yaacob, Prof. Dr., Rakhmad, Arief Siregar
Other Authors: umaisarah_138@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:
Frequency Response Function
K-Nearest Neighbor
Vibration analysis
Vibration technique
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14061
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spelling my.unimap-140612011-10-08T02:32:37Z The classification of material mechanical properties using non-destructive vibration technique Intan Maisarah, Abd Rahim Fauziah, Mat Sazali, Yaacob, Prof. Dr. Rakhmad, Arief Siregar umaisarah_138@yahoo.com fauziah@unimap.edu.my sazali22@yahoo.com rakhmadarief@gmail.com Frequency Response Function K-Nearest Neighbor Vibration analysis Vibration technique Link to publisher's homepage at http://ieeexplore.ieee.org/ 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. 2011-10-08T02:32:37Z 2011-10-08T02:32:37Z 2011-03-04 Working Paper p. 202-206 978-161284414-5 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5759873&tag=1 http://hdl.handle.net/123456789/14061 en Proceedings of the 7th International Colloquium on Signal Processing and Its Applications (CSPA 2011) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Frequency Response Function
K-Nearest Neighbor
Vibration analysis
Vibration technique
spellingShingle Frequency Response Function
K-Nearest Neighbor
Vibration analysis
Vibration technique
Intan Maisarah, Abd Rahim
Fauziah, Mat
Sazali, Yaacob, Prof. Dr.
Rakhmad, Arief Siregar
The classification of material mechanical properties using non-destructive vibration technique
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 umaisarah_138@yahoo.com
author_facet umaisarah_138@yahoo.com
Intan Maisarah, Abd Rahim
Fauziah, Mat
Sazali, Yaacob, Prof. Dr.
Rakhmad, Arief Siregar
format Working Paper
author Intan Maisarah, Abd Rahim
Fauziah, Mat
Sazali, Yaacob, Prof. Dr.
Rakhmad, Arief Siregar
author_sort Intan Maisarah, Abd Rahim
title The classification of material mechanical properties using non-destructive vibration technique
title_short The classification of material mechanical properties using non-destructive vibration technique
title_full The classification of material mechanical properties using non-destructive vibration technique
title_fullStr The classification of material mechanical properties using non-destructive vibration technique
title_full_unstemmed The classification of material mechanical properties using non-destructive vibration technique
title_sort classification of material mechanical properties using non-destructive vibration technique
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14061
_version_ 1643791131513716736
score 13.160551

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