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Structural steel plate damage detection using DFT spectral energy and artificial neural network

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Main Authors: Paulraj, Murugesa Pandiyan, Prof. Madya Dr., Mohd Shukri, Abdul Majid, Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Prof. Madya Dr., Krishnan, Pranesh R.
Other Authors: praneshkrishnan@gmail.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:
Backpropagation
Damage detection
Discrete Fourier Transformation
Experimental modal analysis
Radial basis function network
Spectral energy
Vibration signal
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10446
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spelling my.unimap-104462011-01-09T08:13:48Z Structural steel plate damage detection using DFT spectral energy and artificial neural network Paulraj, Murugesa Pandiyan, Prof. Madya Dr. Mohd Shukri, Abdul Majid Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Madya Dr. Krishnan, Pranesh R. praneshkrishnan@gmail.com Backpropagation Damage detection Discrete Fourier Transformation Experimental modal analysis Radial basis function network Spectral energy Vibration signal Link to publisher's homepage at http://ieeexplore.ieee.org/ In this paper, simple methods for crack identification in steel plates and their classification based on the frame based frequency domain features is presented. Based upon the boundary conditions and experimental modal analysis, two simple experimental methods are designed to measure the vibration at different positions of the steel plate. The plate is excited by an impulse signal and made to vibrate. The propagated vibration signals are then recorded. The signal is transformed into frequency domain by computing the Discrete Fourier Transformation (DFT). The frequency spectral bands are identified and the spectral energy is extracted as features. The condition of the steel plate namely healthy or faulty is associated with the extracted features to form a final feature vector. Two simple neural network models were developed, trained using Backpropagation (BP) and Radial Basis Function (RBF) algorithms. The results and the effectiveness of the system are validated through simulation. 2011-01-09T08:13:48Z 2011-01-09T08:13:48Z 2010-05-21 Working Paper p. 1-6 978-1-4244-7121-8 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545247 http://hdl.handle.net/123456789/10446 en Proceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010 Institute of Electrical and Electronics Engineers (IEEE)
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 Backpropagation
Damage detection
Discrete Fourier Transformation
Experimental modal analysis
Radial basis function network
Spectral energy
Vibration signal
spellingShingle Backpropagation
Damage detection
Discrete Fourier Transformation
Experimental modal analysis
Radial basis function network
Spectral energy
Vibration signal
Paulraj, Murugesa Pandiyan, Prof. Madya Dr.
Mohd Shukri, Abdul Majid
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Prof. Madya Dr.
Krishnan, Pranesh R.
Structural steel plate damage detection using DFT spectral energy and artificial neural network
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 praneshkrishnan@gmail.com
author_facet praneshkrishnan@gmail.com
Paulraj, Murugesa Pandiyan, Prof. Madya Dr.
Mohd Shukri, Abdul Majid
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Prof. Madya Dr.
Krishnan, Pranesh R.
format Working Paper
author Paulraj, Murugesa Pandiyan, Prof. Madya Dr.
Mohd Shukri, Abdul Majid
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Prof. Madya Dr.
Krishnan, Pranesh R.
author_sort Paulraj, Murugesa Pandiyan, Prof. Madya Dr.
title Structural steel plate damage detection using DFT spectral energy and artificial neural network
title_short Structural steel plate damage detection using DFT spectral energy and artificial neural network
title_full Structural steel plate damage detection using DFT spectral energy and artificial neural network
title_fullStr Structural steel plate damage detection using DFT spectral energy and artificial neural network
title_full_unstemmed Structural steel plate damage detection using DFT spectral energy and artificial neural network
title_sort structural steel plate damage detection using dft spectral energy and artificial neural network
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10446
_version_ 1643789905789190144
score 13.214268

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