Motorbike engine faults diagnosing system using neural network

Proceeding of the International Conference on Electronic Design (ICED 2008) at Penang, Malaysia on 1 December 2008 through 3 December 2008. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp?tag=1

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Bibliographic Details
Main Authors: Paulraj, Murugesa Pandiyan, Prof. Dr., Mohd Shukry, Abdul Majid, Dr., Sazali, Yaacob, Prof. Dr., Zin, M.Z.M.
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35155
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spelling my.unimap-351552014-06-06T08:36:57Z Motorbike engine faults diagnosing system using neural network Paulraj, Murugesa Pandiyan, Prof. Dr. Mohd Shukry, Abdul Majid, Dr. Sazali, Yaacob, Prof. Dr. Zin, M.Z.M. paul@unimap.edu.my shukry@unimap.edu.my s.yaacob@unimap.edu.my Backpropagation neural network Energy coefficients Wavelet transform Proceeding of the International Conference on Electronic Design (ICED 2008) at Penang, Malaysia on 1 December 2008 through 3 December 2008. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp?tag=1 Monitoring systems for motorbike industry requires high and efficient degree of performance. In recent years, automatic identification and diagnosis of motorbike engine faults has become a very complex and critical task. The noise produced by a motorbike engine is an important information source of fault diagnosis. Artificial Neural Network finds applications in many industries including condition monitoring and fault diagnosis. In this paper a simple feature extraction algorithm that extracts the features from the engine noise signal using discrete wavelet transform is presented. The engine noise signals are decomposed into 8 levels using Daubechies ldquodb4rdquo wavelet family. The eight level coefficients energy of approximated version and detailed version are computed and used as features. Three simple neural network models are developed and trained by conventional backpropagation algorithm for identifying the motorbike engine faults and the average classification rates are around 85%. 2014-06-06T08:36:57Z 2014-06-06T08:36:57Z 2008-12 Working Paper p. 1-6 978-1-4244-2315-6 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4786641 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35155 http://dx.doi.org/10.1109/ICED.2008.4786641 en Proceeding of the International Conference on Electronic Design (ICED 2008); IEEE Conference Publications
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 neural network
Energy coefficients
Wavelet transform
spellingShingle Backpropagation neural network
Energy coefficients
Wavelet transform
Paulraj, Murugesa Pandiyan, Prof. Dr.
Mohd Shukry, Abdul Majid, Dr.
Sazali, Yaacob, Prof. Dr.
Zin, M.Z.M.
Motorbike engine faults diagnosing system using neural network
description Proceeding of the International Conference on Electronic Design (ICED 2008) at Penang, Malaysia on 1 December 2008 through 3 December 2008. 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.
Mohd Shukry, Abdul Majid, Dr.
Sazali, Yaacob, Prof. Dr.
Zin, M.Z.M.
format Working Paper
author Paulraj, Murugesa Pandiyan, Prof. Dr.
Mohd Shukry, Abdul Majid, Dr.
Sazali, Yaacob, Prof. Dr.
Zin, M.Z.M.
author_sort Paulraj, Murugesa Pandiyan, Prof. Dr.
title Motorbike engine faults diagnosing system using neural network
title_short Motorbike engine faults diagnosing system using neural network
title_full Motorbike engine faults diagnosing system using neural network
title_fullStr Motorbike engine faults diagnosing system using neural network
title_full_unstemmed Motorbike engine faults diagnosing system using neural network
title_sort motorbike engine faults diagnosing system using neural network
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35155
_version_ 1643797738190536704
score 13.18916