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Best multiple non-linear model factors for knock engine (SI) by using ANFIS

Knock Prediction in vehicles is an ideal problem for non-linear regression to deal with, which use many of the factors of information to predict another factor. Training data were collected through a test engine for the Malaysian Proton company and in various states of speed.Selected six influential...

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Main Authors: Witwit, Azher Razzaq Hadi, Yasin, Azman, Gitano, Horizon, Mahmood, Mohammed Ismael
Format: Article
Language:English
Published: 2014
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://repo.uum.edu.my/12156/1/1358-6487-1-PB.pdf
http://repo.uum.edu.my/12156/
http://www.ajouronline.com/index.php?journal=AJAS&page=index
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spelling my.uum.repo.121562016-05-26T03:22:27Z http://repo.uum.edu.my/12156/ Best multiple non-linear model factors for knock engine (SI) by using ANFIS Witwit, Azher Razzaq Hadi Yasin, Azman Gitano, Horizon Mahmood, Mohammed Ismael TJ Mechanical engineering and machinery Knock Prediction in vehicles is an ideal problem for non-linear regression to deal with, which use many of the factors of information to predict another factor. Training data were collected through a test engine for the Malaysian Proton company and in various states of speed.Selected six influential factors on the knocking(Throttle Position Sensor(TPS),Temperature(TEMP),Revolution Per Minute(RPM),(TORQUE),Ignition Timing( IGN),Acceleration Position(AC_POS)), has been taking data for this study and then applied to a single cylinder,output factor (output variable) to be prediction factor is a knock.We compare the performance of resultant ANFIS and Linear regression to obtain results shows effectiveness ANFIS, as well as three factors were selected from six non-linear factors to get the best model by using Adaptive Neuro-Fuzzy Inference System (ANFIS).Experiments demonstrate that although soft computing methods are somewhat of tolerant of inaccurate inputs, cleaned data results in more robust models for practical problems. 2014-08 Article PeerReviewed application/pdf en cc_by http://repo.uum.edu.my/12156/1/1358-6487-1-PB.pdf Witwit, Azher Razzaq Hadi and Yasin, Azman and Gitano, Horizon and Mahmood, Mohammed Ismael (2014) Best multiple non-linear model factors for knock engine (SI) by using ANFIS. Asian Journal of Applied Sciences, 02 (04). pp. 464-470. ISSN 2321 – 0893 http://www.ajouronline.com/index.php?journal=AJAS&page=index
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Witwit, Azher Razzaq Hadi
Yasin, Azman
Gitano, Horizon
Mahmood, Mohammed Ismael
Best multiple non-linear model factors for knock engine (SI) by using ANFIS
description Knock Prediction in vehicles is an ideal problem for non-linear regression to deal with, which use many of the factors of information to predict another factor. Training data were collected through a test engine for the Malaysian Proton company and in various states of speed.Selected six influential factors on the knocking(Throttle Position Sensor(TPS),Temperature(TEMP),Revolution Per Minute(RPM),(TORQUE),Ignition Timing( IGN),Acceleration Position(AC_POS)), has been taking data for this study and then applied to a single cylinder,output factor (output variable) to be prediction factor is a knock.We compare the performance of resultant ANFIS and Linear regression to obtain results shows effectiveness ANFIS, as well as three factors were selected from six non-linear factors to get the best model by using Adaptive Neuro-Fuzzy Inference System (ANFIS).Experiments demonstrate that although soft computing methods are somewhat of tolerant of inaccurate inputs, cleaned data results in more robust models for practical problems.
format Article
author Witwit, Azher Razzaq Hadi
Yasin, Azman
Gitano, Horizon
Mahmood, Mohammed Ismael
author_facet Witwit, Azher Razzaq Hadi
Yasin, Azman
Gitano, Horizon
Mahmood, Mohammed Ismael
author_sort Witwit, Azher Razzaq Hadi
title Best multiple non-linear model factors for knock engine (SI) by using ANFIS
title_short Best multiple non-linear model factors for knock engine (SI) by using ANFIS
title_full Best multiple non-linear model factors for knock engine (SI) by using ANFIS
title_fullStr Best multiple non-linear model factors for knock engine (SI) by using ANFIS
title_full_unstemmed Best multiple non-linear model factors for knock engine (SI) by using ANFIS
title_sort best multiple non-linear model factors for knock engine (si) by using anfis
publishDate 2014
url http://repo.uum.edu.my/12156/1/1358-6487-1-PB.pdf
http://repo.uum.edu.my/12156/
http://www.ajouronline.com/index.php?journal=AJAS&page=index
_version_ 1644280836442292224
score 13.211869

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