CLC number: TK421+.5
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 1
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SU Shi-chuan, YAN Zhao-da, YUAN Guang-jie, CAO yun-hua, ZHOU Chong-guang. A method for predicting in-cylinder compound combustion emissions[J]. Journal of Zhejiang University Science A, 2002, 3(5): 543-548.
@article{title="A method for predicting in-cylinder compound combustion emissions",
author="SU Shi-chuan, YAN Zhao-da, YUAN Guang-jie, CAO yun-hua, ZHOU Chong-guang",
journal="Journal of Zhejiang University Science A",
volume="3",
number="5",
pages="543-548",
year="2002",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2002.0543"
}
%0 Journal Article
%T A method for predicting in-cylinder compound combustion emissions
%A SU Shi-chuan
%A YAN Zhao-da
%A YUAN Guang-jie
%A CAO yun-hua
%A ZHOU Chong-guang
%J Journal of Zhejiang University SCIENCE A
%V 3
%N 5
%P 543-548
%@ 1869-1951
%D 2002
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2002.0543
TY - JOUR
T1 - A method for predicting in-cylinder compound combustion emissions
A1 - SU Shi-chuan
A1 - YAN Zhao-da
A1 - YUAN Guang-jie
A1 - CAO yun-hua
A1 - ZHOU Chong-guang
J0 - Journal of Zhejiang University Science A
VL - 3
IS - 5
SP - 543
EP - 548
%@ 1869-1951
Y1 - 2002
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2002.0543
Abstract: This paper presents a method using a large steady-state engine operation data matrix to provide necessary information for successfully training a predictive network, while at the same time eliminating errors produced by the dispersive effects of the emissions measurement system. The steady-state training conditions of compound fuel allow for the correlation of time-averaged in-cylinder combustion variables to the engine-out NOx and HC emissions. The error back-propagation neural network (EBP) is then capable of learning the relationships between these variables and the measured gaseous emissions, and then interpolating between steady-state points in the matrix. This method for NOx and HC has been proved highly successful.
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