| dc.contributor.author | Paulraj, Murugesa Pandiyan, Prof. Madya | |
| dc.contributor.author | Mohd Shukri, Abdul Majid | |
| dc.contributor.author | Sazali, Yaacob, Prof. Dr. | |
| dc.contributor.author | Mohd Hafiz, Fazalul Rahiman | |
| dc.contributor.author | Krishnan, R. P. | |
| dc.date.accessioned | 2010-08-13T05:04:02Z | |
| dc.date.available | 2010-08-13T05:04:02Z | |
| dc.date.issued | 2009-06-04 | |
| dc.identifier.citation | p.1-4 | en_US |
| dc.identifier.isbn | 978-1-4244-4789-3 | |
| dc.identifier.uri | 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 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/8647 | |
| dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org/ | en_US |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineering (IEEE) | en_US |
| dc.relation.ispartofseries | Proceedings of the International Conference on Control Automation, Communication and Energy Conservation (INCACEC) 2009 | en_US |
| dc.subject | Back propagation neural network | en_US |
| dc.subject | Damage detection | en_US |
| dc.subject | Discrete cosine transformation | en_US |
| dc.subject | Time domain | en_US |
| dc.subject | International Conference Control, Automation, Communication and Energy Conservation (INCACEC) | en_US |
| dc.title | Damage detection in steel plates using artificial neural networks | en_US |
| dc.type | Working Paper | en_US |
