Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/35134
Title: Application of frame energy based DCT moments for the damage diagnosis in steel plates using FLNN
Authors: Paulraj, Murugesa Pandiyan, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Shukry, Abdul Majid, Dr.
Krishnan, Pranesh
paul@unimap.edu.my.
s.yaacob@unimap.edu.my
shukry@unimap.edu.my
praneshkrishnan@gmail.com
Keywords: DCT moments
Discrete cosine transformation
Experimental modal analysis
Falhman criterion
Frame energy
Functional Link Neural Network
Structural health monitoring
Issue Date: Dec-2012
Publisher: IEEE Conference Publications
Citation: p.120-123
Series/Report no.: Proceeding of The IEEE Student Conference on Research and Development (SCOReD 2012);
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.
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
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6518623&tag=1
http://dspace.unimap.edu.my:80/dspace/handle/123456789/35134
ISBN: 978-1-4673-5158-4
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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