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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/35134
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dc.contributor.authorPaulraj, Murugesa Pandiyan, Prof. Dr.-
dc.contributor.authorSazali, Yaacob, Prof. Dr.-
dc.contributor.authorMohd Shukry, Abdul Majid, Dr.-
dc.contributor.authorKrishnan, Pranesh-
dc.date.accessioned2014-06-06T03:46:42Z-
dc.date.available2014-06-06T03:46:42Z-
dc.date.issued2012-12-
dc.identifier.citationp.120-123en_US
dc.identifier.isbn978-1-4673-5158-4-
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6518623&tag=1-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/35134-
dc.descriptionProceeding 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=1en_US
dc.description.abstractThis 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.isoenen_US
dc.publisherIEEE Conference Publicationsen_US
dc.relation.ispartofseriesProceeding of The IEEE Student Conference on Research and Development (SCOReD 2012);-
dc.subjectDCT momentsen_US
dc.subjectDiscrete cosine transformationen_US
dc.subjectExperimental modal analysisen_US
dc.subjectFalhman criterionen_US
dc.subjectFrame energyen_US
dc.subjectFunctional Link Neural Networken_US
dc.subjectStructural health monitoringen_US
dc.titleApplication of frame energy based DCT moments for the damage diagnosis in steel plates using FLNNen_US
dc.typeWorking Paperen_US
dc.identifier.urlhttp://dx.doi.org/10.1109/SCOReD.2012.6518623-
dc.contributor.urlpaul@unimap.edu.my.en_US
dc.contributor.urls.yaacob@unimap.edu.myen_US
dc.contributor.urlshukry@unimap.edu.myen_US
dc.contributor.urlpraneshkrishnan@gmail.comen_US
Appears in Collections:Mohd Shukry Abdul Majid, Assoc. Prof. Ir. Dr.
Paulraj Murugesa Pandiyan, Assoc. Prof. Dr.
Sazali Yaacob, Prof. Dr.

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