Hybrid Machine Learning Approaches and a Systematic Model Selection Process for Predicting Soot Emissions in Compression Ignition Engines

Hybrid Machine Learning Approaches and a Systematic Model Selection Process for Predicting Soot Emissions in Compression Ignition Engines

The standards for emissions from diesel engines are becoming more stringent and accurate emission modeling is crucial in order to control the engine to meet these standards. Soot emissions are formed through a complex process and are challenging to model. A comprehensive analysis of diesel engine so...

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Bibliographic Details
Main Authors: Saeid Shahpouri, Armin Norouzi, Christopher Hayduk, Reza Rezaei, Mahdi Shahbakhti, Charles Robert Koch
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
diesel engines
soot emissions
machine learning
gray-box modeling
data-driven modeling
Online Access:https://www.mdpi.com/1996-1073/14/23/7865

Internet

https://www.mdpi.com/1996-1073/14/23/7865

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