Please use this identifier to cite or link to this item:
|Title:||Detecting automotive exhaust gas based on fuzzy inference system|
|Keywords:||Automotive exhaust gas|
|Citation:||Li, S.-J., Bai, M., Wang, Q., Chen, B., Zhao, X.-B., Yang, T., Wang, Z.-X. (2009). Detecting automotive exhaust gas based on fuzzy inference system. 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 3 : 267-270. ScholarBank@NUS Repository. https://doi.org/10.1109/FSKD.2009.137|
|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 nonlinear 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. © 2009 IEEE.|
|Source Title:||6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 17, 2018
checked on Jul 27, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.