Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform
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Institute of Electrical and Elctronics Engineering (IEEE)
2010
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my.unimap-87972010-08-18T02:03:33Z Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform Paulraj, Murugesa Pandiyan, Prof. Madya Sazali, Yaacob, Prof. Dr. Zin, M.Z.M. Backpropagation neural network Entropy Wavelet analysis International Colloquium on Signal Processing and Its Applications (CSPA) Link to publisher's homepage at http://ieeexplore.ieee.org/ The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead to high system reliability and save maintenance cost. A number of diagnostic systems for vehicle repair have been developing in recent years. Artificial Neural Network is a very demanding application and popularly implemented in many industries including condition monitoring via fault diagnosis. This paper presents a feature extraction algorithm using total entropy of 5 level decomposition of wavelet transform. The engine noise signal is decomposed into 5 levels (A5, D5, A4, D4, A3, D3, A2, D2, A1, D1) using Daubechies "db4" wavelet family. From the decomposed signals, the entropy is applied for each levels and the feature are extracted and used to develop a backpropagation neural network. 2010-08-18T02:03:33Z 2010-08-18T02:03:33Z 2009-03-06 Working Paper p.47-51 978-1-4244-4150-1 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5069186 http://hdl.handle.net/123456789/8797 en Proceedings of the 5th International Colloquium on Signal Processing and Its Applications (CSPA) 2009 Institute of Electrical and Elctronics Engineering (IEEE) |
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English |
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Backpropagation neural network Entropy Wavelet analysis International Colloquium on Signal Processing and Its Applications (CSPA) |
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Backpropagation neural network Entropy Wavelet analysis International Colloquium on Signal Processing and Its Applications (CSPA) Paulraj, Murugesa Pandiyan, Prof. Madya Sazali, Yaacob, Prof. Dr. Zin, M.Z.M. Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| format |
Working Paper |
| author |
Paulraj, Murugesa Pandiyan, Prof. Madya Sazali, Yaacob, Prof. Dr. Zin, M.Z.M. |
| author_facet |
Paulraj, Murugesa Pandiyan, Prof. Madya Sazali, Yaacob, Prof. Dr. Zin, M.Z.M. |
| author_sort |
Paulraj, Murugesa Pandiyan, Prof. Madya |
| title |
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform |
| title_short |
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform |
| title_full |
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform |
| title_fullStr |
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform |
| title_full_unstemmed |
Entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform |
| title_sort |
entropy based feature extraction for motorbike engine faults diagnosing using neural network and wavelet transform |
| publisher |
Institute of Electrical and Elctronics Engineering (IEEE) |
| publishDate |
2010 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/8797 |
| _version_ |
1643789251852107776 |