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Steel plate damage diagnosis using probabilistic neural network

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

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Bibliographic Details
Main Authors: Paulraj, Murugesa Pandiyan, Prof. Dr., Sazali, Yaacob, Prof. Dr., Mohd Shukry, Abdul Majid, Dr., Krishnan, Pranesh
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
Subjects:
DFT spectral band
Discrete cosine transformation
Experimental modal analysis
Falhman criterion
Frame energy
Probabilistic neural network
Structural health monitoring
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35127
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spelling my.unimap-351272014-06-06T02:57:04Z Steel plate damage diagnosis using probabilistic neural network 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 DFT spectral band Discrete cosine transformation Experimental modal analysis Falhman criterion Frame energy Probabilistic neural network Structural health monitoring 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 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. 2014-06-06T02:31:11Z 2014-06-06T02:31:11Z 2013-01 Working Paper p. 545-549 978-1-4673-4359-6 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6481214 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35127 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6481214 http://dx.doi.org/10.1109/ISCO.2013.6481214 en Proceeding of The 7th International Conference on Intelligent Systems and Control (ISCO 2013); IEEE Conference Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic DFT spectral band
Discrete cosine transformation
Experimental modal analysis
Falhman criterion
Frame energy
Probabilistic neural network
Structural health monitoring
spellingShingle DFT spectral band
Discrete cosine transformation
Experimental modal analysis
Falhman criterion
Frame energy
Probabilistic neural network
Structural health monitoring
Paulraj, Murugesa Pandiyan, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Shukry, Abdul Majid, Dr.
Krishnan, Pranesh
Steel plate damage diagnosis using probabilistic neural network
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
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Paulraj, Murugesa Pandiyan, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Shukry, Abdul Majid, Dr.
Krishnan, Pranesh
format Working Paper
author Paulraj, Murugesa Pandiyan, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Shukry, Abdul Majid, Dr.
Krishnan, Pranesh
author_sort Paulraj, Murugesa Pandiyan, Prof. Dr.
title Steel plate damage diagnosis using probabilistic neural network
title_short Steel plate damage diagnosis using probabilistic neural network
title_full Steel plate damage diagnosis using probabilistic neural network
title_fullStr Steel plate damage diagnosis using probabilistic neural network
title_full_unstemmed Steel plate damage diagnosis using probabilistic neural network
title_sort steel plate damage diagnosis using probabilistic neural network
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35127
_version_ 1643797714241060864
score 13.211869

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