Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
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 …
Diesel engine NOx emission modeling using a new experiment design and reduced set of regressors
In this paper, NOx emissions from a diesel engine are modeled with nonlinear
autoregressive with exogenous input (NARX) model. Airpath and fuelpath channels are …
autoregressive with exogenous input (NARX) model. Airpath and fuelpath channels are …
[HTML][HTML] Improving Fuel Consumption Prediction for Marine Diesel Engines Using Hierarchical Neural Networks and Pulsating Exhaust Models
AA Salazar, G Salameh, P Chesse, N Bulot… - Energies, 2024 - mdpi.com
Predicting end-of-process variables in internal combustion engines, such as brake-specific
fuel consumption or pollutant emissions, is crucial for engine design decisions. However …
fuel consumption or pollutant emissions, is crucial for engine design decisions. However …
Modelling Fuel Consumption and NOₓ Emission of a Medium Duty Truck Diesel Engine With Comparative Time-Series Methods
This study focuses on different intelligent time series modelling techniques namely nonlinear
autoregressive network with exogenous inputs (NARX), autoregressive integrated moving …
autoregressive network with exogenous inputs (NARX), autoregressive integrated moving …
Prediction of NOX Concentration in Nonthermal Plasma-Treated Diesel Exhaust Using Dimensional Analysis
S Allamsetty, S Mohapatro - IEEE Transactions on Plasma …, 2018 - ieeexplore.ieee.org
Application of the nonthermal plasma (NTP) technology for NO X removal from diesel engine
exhaust has already been experimentally proved to be an efficient method at laboratory …
exhaust has already been experimentally proved to be an efficient method at laboratory …
Data driven nonlinear dynamic models for predicting heavy-duty diesel engine torque and combustion emissions
G Alcan - 2019 - research.sabanciuniv.edu
Diesel engines' reliable and durable structures, high torque generation capabilities at low
speeds, and fuel consumption efficiencies make them irreplaceable for heavy-duty vehicles …
speeds, and fuel consumption efficiencies make them irreplaceable for heavy-duty vehicles …
[HTML][HTML] A low-cost remote driver sleep monitoring system
Z Ekşi, AN Camgöz, M Özarslan, E Sözer… - Journal of Mechatronics …, 2022 - extrica.com
Today, the use of smart transportation systems has become widespread due to the change
in the structure of cities, technological developments, and the increase in the number of …
in the structure of cities, technological developments, and the increase in the number of …
Feedforward mapping for engine control
Feedforward control is widely used in electronic control units of internal combustion engines
besides feedback controls. However, almost all feedforward control values are used in table …
besides feedback controls. However, almost all feedforward control values are used in table …