NDLI: Studying the effect of diesel fuel properties on emissions from engines with the fuzzy regression method

Content Provider	IEEE Xplore Digital Library
Author	Yuanwang Deng Ye Yuan Guixian Sun Fei Zhou Keliang Cheng
Copyright Year	2011
Description	Author affiliation: College of mechanical and vehicle engineering, Hunan University, Changsha, China (Yuanwang Deng; Ye Yuan; Guixian Sun; Fei Zhou; Keliang Cheng)
Abstract	It has been studied how to construct the fuzzy linear regression model and to calculate the fuzzy regression coefficients in the paper. Based on above work, selecting diesel fuel properties: density, polyaromatics, cetane number and back end distillation as the independent variables, and engine emissions: total hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOx) and particulate matters (PM) as the dependent variable respectively, the fuzzy linear regression models are obtained. The fuzzy regression coefficients are calculated with the simplex method. Restrictions on the fuzzy center and fuzzy width of the fuzzy regression coefficient are put forward too. The results show that all of the fuzzy linear regression equations can present correctly relationship between the independent variables and the dependent variables. It is feasible to study the effect of diesel fuel properties on engine emissions with the method.
Starting Page	2699
Ending Page	2704
File Size	229301
Page Count	6
File Format	PDF
ISBN	9781424480364
e-ISBN	9781424480395
DOI	10.1109/ICEICE.2011.5777078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy regression method Linear regression Linear programming Mathematical model Fuels Diesel fuel properties Equations Engines Automotive engineering Engine emissions
Content Type	Text
Resource Type	Article

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