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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IEEE Conference Publications
2014
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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 |
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| 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 |