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
Subjects:	Backpropagation neural network Energy coefficients Wavelet transform
Online Access:	http://dspace.unimap.edu.my:80/dspace/handle/123456789/35155
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-35155
record_format	dspace
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

Motorbike engine faults diagnosing system using neural network

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