Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-16530-6_19
Title: Automobile exhaust gas detection based on fuzzy temperature compensation system
Authors: Wang, Z.
Ding, H.
Hao, F.
Wang, Z. 
Sun, Z.
Li, S.
Keywords: Automobile exhaust gas
Fuzzy inference
Temperature compensation
Issue Date: 2010
Source: Wang, Z.,Ding, H.,Hao, F.,Wang, Z.,Sun, Z.,Li, S. (2010). Automobile exhaust gas detection based on fuzzy temperature compensation system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6319 LNAI (PART 1) : 153-160. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-16530-6_19
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. © 2010 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/83505
ISBN: 364216529X
ISSN: 03029743
DOI: 10.1007/978-3-642-16530-6_19
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

34
checked on Apr 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.