NOx emissions prediction based on mutual information and back propagation neural network using correlation quantitative analysis
G Wang, OI Awad, S Liu, S Shuai, Z Wang - Energy, 2020 - Elsevier
Abstract Information on Nitrogen oxide (NO x) concentrations play a significant role in
aftertreatment systems. In this work, a method to estimate NO x emissions by means of …
aftertreatment systems. In this work, a method to estimate NO x emissions by means of …
A novel deep learning approach to predict the instantaneous NOₓ emissions from diesel engine
Y Yu, Y Wang, J Li, M Fu, AN Shah, C He - Ieee Access, 2021 - ieeexplore.ieee.org
Accurate and stable prediction of NOx emissions from diesel vehicles plays a crucial role in
the establishment of virtual NOx sensors and the development and design of diesel engines …
the establishment of virtual NOx sensors and the development and design of diesel engines …
On the application of artificial neural networks for the prediction of NOx emissions from a high-speed direct injection diesel engine
This article considers the application and refinement of artificial neural network methods for
the prediction of NO x emissions from a high-speed direct injection diesel engine over a …
the prediction of NO x emissions from a high-speed direct injection diesel engine over a …
Forecasting of NOx emissions of diesel LHD vehicles in underground mines—an ANN-based regression approach
A Banasiewicz, F Moosavi, M Kotyla, P Śliwiński… - Applied Sciences, 2023 - mdpi.com
An approach based on an artificial neural network (ANN) for the prediction of NOx emissions
from underground load–haul–dumping (LHD) vehicles powered by diesel engines is …
from underground load–haul–dumping (LHD) vehicles powered by diesel engines is …
A new transient NOx prediction model for diesel engine based on neural network model with Pelican Optimization Algorithm
X Chen, S Bai, G Li, G Wang… - International Journal of …, 2024 - journals.sagepub.com
The World Harmonized Steady Cycle (WHSC) and the World Harmonized Transient Cycle
(WHTC) are used to simulate the real driving conditions of a vehicle, which provides an …
(WHTC) are used to simulate the real driving conditions of a vehicle, which provides an …
Predicting NOx emissions in diesel engines via sigmoid NARX models using a new experiment design for combustion identification
Diesel engines are still widely used in heavy-duty engine industry because of their high
energy conversion efficiency. In recent decades, governmental institutions limit the …
energy conversion efficiency. In recent decades, governmental institutions limit the …
Estimating soot emission in diesel engines using gated recurrent unit networks
In this paper, a new data-driven modeling of a diesel engine soot emission formation using
gated recurrent unit (GRU) networks is proposed. Different from the traditional time series …
gated recurrent unit (GRU) networks is proposed. Different from the traditional time series …
Space-filling subset selection for an electric battery model
P Gesner, C Gletter, F Landenberger… - arXiv preprint arXiv …, 2020 - arxiv.org
Dynamic models of the battery performance are an essential tool throughout the
development process of automotive drive trains. The present study introduces a method …
development process of automotive drive trains. The present study introduces a method …
[PDF][PDF] Neural Network Modeling of Helicopters Turboshaft Engines at Flight Modes Using an Approach Based on" Black Box" Models.
S Vladov, R Yakovliev, O Hubachov, J Rud… - IT&I, 2023 - ceur-ws.org
The work is devoted to further research in the field of creation and modernization of an
onboard monitoring system for helicopters turboshaft engines. In this work, neural network …
onboard monitoring system for helicopters turboshaft engines. In this work, neural network …
Nonlinear identification modeling for PCCI engine emissions prediction using unsupervised learning and neural networks
Premixed charged compression ignition (PCCI) is an advanced combustion strategy, which
has the potential to achieve ultra-low nitrogen oxide and soot emissions at high thermal …
has the potential to achieve ultra-low nitrogen oxide and soot emissions at high thermal …