| dc.contributor.author | Paulraj, Murugesa Pandiyan, Prof. Dr. | |
| dc.contributor.author | Sazali, Yaacob, Prof. Dr. | |
| dc.contributor.author | Mohd Shukry, Abdul Majid, Dr. | |
| dc.contributor.author | Krishnan, Pranesh | |
| dc.date.accessioned | 2014-06-06T03:46:42Z | |
| dc.date.available | 2014-06-06T03:46:42Z | |
| dc.date.issued | 2012-12 | |
| dc.identifier.citation | p.120-123 | en_US |
| dc.identifier.isbn | 978-1-4673-5158-4 | |
| dc.identifier.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6518623&tag=1 | |
| dc.identifier.uri | http://dspace.unimap.edu.my:80/dspace/handle/123456789/35134 | |
| dc.description | Proceeding of the IEEE Student Conference on Research and Development (SCOReD 2012) at Penang, Malaysia on 5 December 2012 through 6 December 2012. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp?tag=1 | en_US |
| dc.description.abstract | This paper discusses the application of frame energy based Discrete Cosine Transformation (DCT) moment features for the detection of damages in steel plates. A simple experimental model is devised to suspend the steel plates in a free-free condition. Experimental modal analysis methods are analyzed and protocols are formed to capture vibration signals from the steel plate using accelerometers when subjected to external impulse. Algorithms based on frame energy based DCT moment feature extraction are developed and prominent features are extracted. A Functional Link Neural Network (FLNN) is modeled to classify the condition of the steel plate. The output of the network model is validated using Falhman testing criterion and the results are compared. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE Conference Publications | en_US |
| dc.relation.ispartofseries | Proceeding of The IEEE Student Conference on Research and Development (SCOReD 2012); | |
| dc.subject | DCT moments | en_US |
| dc.subject | Discrete cosine transformation | en_US |
| dc.subject | Experimental modal analysis | en_US |
| dc.subject | Falhman criterion | en_US |
| dc.subject | Frame energy | en_US |
| dc.subject | Functional Link Neural Network | en_US |
| dc.subject | Structural health monitoring | en_US |
| dc.title | Application of frame energy based DCT moments for the damage diagnosis in steel plates using FLNN | en_US |
| dc.type | Working Paper | en_US |
| dc.identifier.url | http://dx.doi.org/10.1109/SCOReD.2012.6518623 | |
| dc.contributor.url | paul@unimap.edu.my. | en_US |
| dc.contributor.url | s.yaacob@unimap.edu.my | en_US |
| dc.contributor.url | shukry@unimap.edu.my | en_US |
| dc.contributor.url | praneshkrishnan@gmail.com | en_US |
