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|Title: ||Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network|
|Authors: ||Paulraj, M.P.|
Mohd Shukry, Abdul Majid
Mohd Hafiz, Fazalul Rahiman
R Pranesh, Krishnan
|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.|
|Appears in Collections:||Mohd Hafiz Fazalul Rahiman, Dr.|
Mohd Shukry Abdul Majid, Dr.
Paulraj Murugesa Pandiyan, Prof. Dr.
Sazali Yaacob, Prof. Dr.
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