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...
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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 |
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TC Hydraulic engineering. Ocean engineering Nekooei, Mohammad Javad Jaswar, Koto Priyanto, Agoes A simple fuzzy logic diagnosis system for control of internal combustion engines |
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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. |
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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 |
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Penerbit UTM Press |
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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 |
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