Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
9-2009
Abstract
This paper proposes a method of detecting automotive exhaust gas based on fuzzy logic inference after analyzing the principle of the infrared automobile exhaust gas analyzer and the influence of the environmental temperature on analyzer. This paper analyses the measurement error caused by environmental temperature, and then makes a non-linear error correction of temperature for the infrared sensor using fuzzy inference. The results of simulation have clearly demonstrated that the proposed fuzzy compensation scheme is better than the non-fuzzy method.
Keywords
Automotive exhaust gas, Fuzzy inference, Infrared analyzer, Temperature compensation
Discipline
Numerical Analysis and Scientific Computing | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
2009 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD): August 14-16, Tianjin: Proceedings
First Page
267
Last Page
270
ISBN
9780769537351
Identifier
10.1109/FSKD.2009.137
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/FSKD.2009.137
Included in
Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons