Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/35127
Title: Steel plate damage diagnosis using probabilistic neural network
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
Keywords: DFT spectral band
Discrete cosine transformation
Experimental modal analysis
Falhman criterion
Frame energy
Probabilistic neural network
Structural health monitoring
Issue Date: Jan-2013
Publisher: IEEE Conference Publications
Citation: p. 545-549
Series/Report no.: Proceeding of The 7th International Conference on Intelligent Systems and Control (ISCO 2013);
Abstract: This paper discusses the application of frame energy based DFT spectral band 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 DFT spectral band feature extraction are developed and prominent features are extracted. A Probabilistic Neural Network 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 7th International Conference on Intelligent Systems and Control (ISCO) 2013 at Coimbatore, Tamilnadu, India on 4 January 2013 through 5 January 2013. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp?tag=1
URI: http://dspace.unimap.edu.my:80/dspace/handle/123456789/35127
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6481214
ISBN: 978-1-4673-4359-6
ISSN: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6481214
Appears in Collections:Mohd Shukry Abdul Majid, Assoc. Prof. Ir. Dr.
Paulraj Murugesa Pandiyan, Assoc. Prof. Dr.
Sazali Yaacob, Prof. Dr.

Files in This Item:
File Description SizeFormat 
Steel plate damage diagnosis using probabilistic neural network-abstract.pdf57.1 kBAdobe PDFView/Open


Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.