Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring

Bibliographic Details
Main Authors: Mohammad-Reza Pourramezan, Abbas Rohani, Mohammad Hossein Abbaspour-Fard
Format: Article
Language:English
Published: American Chemical Society 2023-12-01
Series:ACS Omega
Online Access:https://doi.org/10.1021/acsomega.3c07780
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author Mohammad-Reza Pourramezan
Abbas Rohani
Mohammad Hossein Abbaspour-Fard
author_facet Mohammad-Reza Pourramezan
Abbas Rohani
Mohammad Hossein Abbaspour-Fard
author_sort Mohammad-Reza Pourramezan
collection DOAJ
first_indexed 2024-03-08T15:47:42Z
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issn 2470-1343
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spelling doaj.art-5968c6b8148349a5bea3cf7c976216862024-01-09T09:50:59ZengAmerican Chemical SocietyACS Omega2470-13432023-12-01911398141510.1021/acsomega.3c07780Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition MonitoringMohammad-Reza PourramezanAbbas RohaniMohammad Hossein Abbaspour-Fardhttps://doi.org/10.1021/acsomega.3c07780
spellingShingle Mohammad-Reza Pourramezan
Abbas Rohani
Mohammad Hossein Abbaspour-Fard
Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
ACS Omega
title Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
title_full Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
title_fullStr Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
title_full_unstemmed Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
title_short Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring
title_sort comparative analysis of soft computing models for predicting viscosity in diesel engine lubricants an alternative approach to condition monitoring
url https://doi.org/10.1021/acsomega.3c07780
work_keys_str_mv AT mohammadrezapourramezan comparativeanalysisofsoftcomputingmodelsforpredictingviscosityindieselenginelubricantsanalternativeapproachtoconditionmonitoring
AT abbasrohani comparativeanalysisofsoftcomputingmodelsforpredictingviscosityindieselenginelubricantsanalternativeapproachtoconditionmonitoring
AT mohammadhosseinabbaspourfard comparativeanalysisofsoftcomputingmodelsforpredictingviscosityindieselenginelubricantsanalternativeapproachtoconditionmonitoring