Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

12-2010

Abstract

A temperature compensation scheme of detecting automobile exhaust gas based on fuzzy logic inference is presented in this paper. The principles of the infrared automobile exhaust gas analyzer and the influence of the environmental temperature on analyzer are discussed. A fuzzy inference system is designed to improve the measurement accuracy of the measurement equipment by reducing the measurement errors caused by environmental temperature. The case studies demonstrate the effectiveness of the proposed method. The fuzzy compensation scheme is promising as demonstrated by the simulation results in this paper.

Keywords

Automobile exhaust gas, Fuzzy inference, Temperature compensation

Discipline

Numerical Analysis and Scientific Computing | Operations Research, Systems Engineering and Industrial Engineering | Transportation

Research Areas

Intelligent Systems and Optimization

Publication

Artificial intelligence and computational intelligence: International Conference, AICI 2010, Sanya, China, October 23-24: Proceedings

Volume

6319

First Page

153

Last Page

160

ISBN

9783642165290

Identifier

10.1007/978-3-642-16530-6_19

Publisher

Springer

City or Country

Cham

Additional URL

https://doi.org/10.1007/978-3-642-16530-6_19

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