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|Title:||Automobile exhaust gas detection based on fuzzy temperature compensation system|
|Keywords:||Automobile exhaust gas|
|Citation:||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)|
|Appears in Collections:||Staff Publications|
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