Detecting automotive exhaust gas based on fuzzy inference system
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 environmen...
Saved in:
Main Authors: | LI. Shujin, BAI, Ming, WANG, Quan, CHEN, Bo, ZHAO, Xiaobing, YANG, Ting, WANG, Zhaoxia |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/5552 https://ink.library.smu.edu.sg/context/sis_research/article/6555/viewcontent/Detecting_Automotive_Exhaust_Gas_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Detecting automotive exhaust gas based on fuzzy inference system
by: Li, S.-J., et al.
Published: (2014) -
Automobile exhaust gas detection based on fuzzy temperature compensation system
by: Wang, Z., et al.
Published: (2014) -
Automobile exhaust gas detection based on fuzzy temperature compensation system
by: WANG, Zhiyong, et al.
Published: (2010) -
Mathematical theory of truth-valued flow inference
by: Wang, P.Z., et al.
Published: (2014) -
Energy generation from exhaust of an engine and simulation of turbine using CFD analysis
by: Kalvin, Roman
Published: (2023)