Damage detection in steel plates using artificial neural networks
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Institute of Electrical and Electronics Engineering (IEEE)
2010
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my.unimap-86472013-11-20T03:29:31Z Damage detection in steel plates using artificial neural networks Paulraj, Murugesa Pandiyan, Prof. Madya Mohd Shukri, Abdul Majid Sazali, Yaacob, Prof. Dr. Mohd Hafiz, Fazalul Rahiman Krishnan, R. P. Back propagation neural network Damage detection Discrete cosine transformation Time domain International Conference Control, Automation, Communication and Energy Conservation (INCACEC) Link to publisher's homepage at http://ieeexplore.ieee.org/ In this paper, a simple method for crack identification in steel plates based on frame energy based Discrete Cosine Transformation (DCT) is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of the steel plate. The plate is excited by an impulse signal and made to vibrate. Energy based DCT features are then extracted from the vibration signals which are measured at different locations. A simple neural network model is developed, trained by Back Propagation (BP), to associate the frame energy based DCT features with the damage or undamaged locations of the steel plate. The effectiveness of the system is validated through simulation. 2010-08-13T05:04:02Z 2010-08-13T05:04:02Z 2009-06-04 Working Paper p.1-4 978-1-4244-4789-3 http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5204365&queryText%3D%28Document+Title%3ADamage+detection+in+steel+plates+using+artificial+neural+networks%29%26openedRefinements%3D*%26matchBoolean%3Dtrue%26searchField%3DSearch+All http://hdl.handle.net/123456789/8647 en Proceedings of the International Conference on Control Automation, Communication and Energy Conservation (INCACEC) 2009 Institute of Electrical and Electronics Engineering (IEEE) |
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English |
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Back propagation neural network Damage detection Discrete cosine transformation Time domain International Conference Control, Automation, Communication and Energy Conservation (INCACEC) |
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Back propagation neural network Damage detection Discrete cosine transformation Time domain International Conference Control, Automation, Communication and Energy Conservation (INCACEC) Paulraj, Murugesa Pandiyan, Prof. Madya Mohd Shukri, Abdul Majid Sazali, Yaacob, Prof. Dr. Mohd Hafiz, Fazalul Rahiman Krishnan, R. P. Damage detection in steel plates using artificial neural networks |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| format |
Working Paper |
| author |
Paulraj, Murugesa Pandiyan, Prof. Madya Mohd Shukri, Abdul Majid Sazali, Yaacob, Prof. Dr. Mohd Hafiz, Fazalul Rahiman Krishnan, R. P. |
| author_facet |
Paulraj, Murugesa Pandiyan, Prof. Madya Mohd Shukri, Abdul Majid Sazali, Yaacob, Prof. Dr. Mohd Hafiz, Fazalul Rahiman Krishnan, R. P. |
| author_sort |
Paulraj, Murugesa Pandiyan, Prof. Madya |
| title |
Damage detection in steel plates using artificial neural networks |
| title_short |
Damage detection in steel plates using artificial neural networks |
| title_full |
Damage detection in steel plates using artificial neural networks |
| title_fullStr |
Damage detection in steel plates using artificial neural networks |
| title_full_unstemmed |
Damage detection in steel plates using artificial neural networks |
| title_sort |
damage detection in steel plates using artificial neural networks |
| publisher |
Institute of Electrical and Electronics Engineering (IEEE) |
| publishDate |
2010 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/8647 |
| _version_ |
1643789247312822272 |
| score |
13.214268 |