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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/7343

Title: Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network
Authors: Paulraj, M.P.
Mohd Shukry, Aabdul Majid
Sazali, Yaacob
Mohd Hafiz, Fazalul Rahiman
R Pranesh, Krishnan
???metadata.dc.contributor.url???: paul@unimap.edu.my
Keywords: Crack identification;Steel plates;Plates (Engineering);Structural analysis (Engineering);Vibration;Neural network model;Neural networks (Computer science)
Issue Date: 11-Oct-2009
Publisher: Universiti Malaysia Perlis
Citation: p.5B6 1 - 5B6 5
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)
Abstract: In this paper, a simple method for crack identification in steel plates based on the Frame Energy based Discrete Cosine Transformation [DCT] moments is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of the steel plate. The plate is excited by an impulse signal and made to vibrate. Frame Energy based DCT moment features are then extracted from the vibration signals which are measured at different locations. A simple neural network model is developed, trained by Back Propagation (BP), to associate the frame energy based DCT moment features with the damage or undamaged locations of the steel plate. The effectiveness of the system is validated through simulation.
Description: Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/7343
Appears in Collections:Paulraj Murugesa Pandiyan, Prof. Dr.
Conference Papers
Sazali Yaacob, Prof. Dr.

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