A simple fuzzy logic diagnosis system for control of internal combustion engines

Fuzzy logic (FL) systems are widely established as a technology offering an alternative system to tackle compound and ill defined problems. They can be trained from examples, are fault tolerant in the sense that they are capable to grip noisy and deficient data, are able to deal with non-linear prob...

Full description

Saved in:
Bibliographic Details
Main Authors: Nekooei, Mohammad Javad, Jaswar, Koto, Priyanto, Agoes
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/57662/1/AgoesPriyanto2015_ASimpleFuzzyLogicDiagnosisSystem.pdf
http://eprints.utm.my/id/eprint/57662/
http://dx.doi.org/10.11113/jt.v74.4652
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.57662
record_format eprints
spelling my.utm.576622016-12-07T04:48:49Z http://eprints.utm.my/id/eprint/57662/ A simple fuzzy logic diagnosis system for control of internal combustion engines Nekooei, Mohammad Javad Jaswar, Koto Priyanto, Agoes TC Hydraulic engineering. Ocean engineering Fuzzy logic (FL) systems are widely established as a technology offering an alternative system to tackle compound and ill defined problems. They can be trained from examples, are fault tolerant in the sense that they are capable to grip noisy and deficient data, are able to deal with non-linear problems, and once trained can perform prediction and generalization at high speed. in this paper a simple fuzzy logic control has been developed which is used for defining engine system faults and control and maintain them in a normal range without use any complicated mathematical equation and any fault sensor. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/57662/1/AgoesPriyanto2015_ASimpleFuzzyLogicDiagnosisSystem.pdf Nekooei, Mohammad Javad and Jaswar, Koto and Priyanto, Agoes (2015) A simple fuzzy logic diagnosis system for control of internal combustion engines. Jurnal Teknologi, 74 (5). pp. 121-124. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v74.4652 DOI:10.11113/jt.v74.4652
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TC Hydraulic engineering. Ocean engineering
spellingShingle TC Hydraulic engineering. Ocean engineering
Nekooei, Mohammad Javad
Jaswar, Koto
Priyanto, Agoes
A simple fuzzy logic diagnosis system for control of internal combustion engines
description Fuzzy logic (FL) systems are widely established as a technology offering an alternative system to tackle compound and ill defined problems. They can be trained from examples, are fault tolerant in the sense that they are capable to grip noisy and deficient data, are able to deal with non-linear problems, and once trained can perform prediction and generalization at high speed. in this paper a simple fuzzy logic control has been developed which is used for defining engine system faults and control and maintain them in a normal range without use any complicated mathematical equation and any fault sensor.
format Article
author Nekooei, Mohammad Javad
Jaswar, Koto
Priyanto, Agoes
author_facet Nekooei, Mohammad Javad
Jaswar, Koto
Priyanto, Agoes
author_sort Nekooei, Mohammad Javad
title A simple fuzzy logic diagnosis system for control of internal combustion engines
title_short A simple fuzzy logic diagnosis system for control of internal combustion engines
title_full A simple fuzzy logic diagnosis system for control of internal combustion engines
title_fullStr A simple fuzzy logic diagnosis system for control of internal combustion engines
title_full_unstemmed A simple fuzzy logic diagnosis system for control of internal combustion engines
title_sort simple fuzzy logic diagnosis system for control of internal combustion engines
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/57662/1/AgoesPriyanto2015_ASimpleFuzzyLogicDiagnosisSystem.pdf
http://eprints.utm.my/id/eprint/57662/
http://dx.doi.org/10.11113/jt.v74.4652
_version_ 1643654043167358976