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Intelligent vehicle fault diagnosis system using Neural Networks

Organized by Faculty of Electrical Engineering (UiTM), 9th - 11th March 2007 at Melaka.

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Bibliographic Details
Main Authors: Paulraj, Murugesapandian, Sazali, Yaacob, Nor Shaifudin, Abd Hamid, Hema, Chengalvarayan Radhakrishnamurthy
Format: Working Paper
Language:English
Published: Universiti Teknologi Mara 2009
Subjects:
Sound signal
Neural network training
Back propagation
Frequency spectrum
Automobiles
Motor vehicles > Testing
Automobiles > Reliability
Automobiles > Testing
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6234
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spelling my.unimap-62342009-12-11T04:11:17Z Intelligent vehicle fault diagnosis system using Neural Networks Paulraj, Murugesapandian Sazali, Yaacob Nor Shaifudin, Abd Hamid Hema, Chengalvarayan Radhakrishnamurthy Sound signal Neural network training Back propagation Frequency spectrum Automobiles Motor vehicles -- Testing Automobiles -- Reliability Automobiles -- Testing Organized by Faculty of Electrical Engineering (UiTM), 9th - 11th March 2007 at Melaka. Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal shows that noise emnated from a vehicle engine may vary for different fault conditions. In order to clearly diagnose the faults present in a vehicle engine the real time data are collected from various vehicle engines. Simple methods are proposed for recording the vehicle engine sound signal emanated using microphones. By applying auto regressive modeling method, features are extracted from the power spectral variations of the vehicle engine noise. The features are then associated to the expert's opinion to formulate a neural network model that can identify the faults automatically. A simple feed forward neural network model trained by back propagation procedure is proposed 2009-06-25T04:45:27Z 2009-06-25T04:45:27Z 2007-03-09 Working Paper 978-983-42747-7-7 http://hdl.handle.net/123456789/6234 en International Colloqium on Signal Processing and its Applications Universiti Teknologi Mara Faculty of Electrical Engineering
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 Sound signal
Neural network training
Back propagation
Frequency spectrum
Automobiles
Motor vehicles -- Testing
Automobiles -- Reliability
Automobiles -- Testing
spellingShingle Sound signal
Neural network training
Back propagation
Frequency spectrum
Automobiles
Motor vehicles -- Testing
Automobiles -- Reliability
Automobiles -- Testing
Paulraj, Murugesapandian
Sazali, Yaacob
Nor Shaifudin, Abd Hamid
Hema, Chengalvarayan Radhakrishnamurthy
Intelligent vehicle fault diagnosis system using Neural Networks
description Organized by Faculty of Electrical Engineering (UiTM), 9th - 11th March 2007 at Melaka.
format Working Paper
author Paulraj, Murugesapandian
Sazali, Yaacob
Nor Shaifudin, Abd Hamid
Hema, Chengalvarayan Radhakrishnamurthy
author_facet Paulraj, Murugesapandian
Sazali, Yaacob
Nor Shaifudin, Abd Hamid
Hema, Chengalvarayan Radhakrishnamurthy
author_sort Paulraj, Murugesapandian
title Intelligent vehicle fault diagnosis system using Neural Networks
title_short Intelligent vehicle fault diagnosis system using Neural Networks
title_full Intelligent vehicle fault diagnosis system using Neural Networks
title_fullStr Intelligent vehicle fault diagnosis system using Neural Networks
title_full_unstemmed Intelligent vehicle fault diagnosis system using Neural Networks
title_sort intelligent vehicle fault diagnosis system using neural networks
publisher Universiti Teknologi Mara
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6234
_version_ 1643788500144750592
score 13.222552

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