In-cylinder pressure reconstruction from engine block vibrations via a branched convolutional neural network

AB Ofner, A Kefalas, S Posch, G Pirker… - Mechanical Systems and …, 2023 - Elsevier
We introduce a novel approach to reconstructing the in-cylinder pressure trace from
vibration signals recorded with common knock sensors. The proposed methodology is …

Estimation of combustion parameters from engine vibrations based on discrete wavelet transform and gradient boosting

A Kefalas, AB Ofner, G Pirker, S Posch, BC Geiger… - Sensors, 2022 - mdpi.com
An optimal control of the combustion process of an engine ensures lower emissions and fuel
consumption plus high efficiencies. Combustion parameters such as the peak firing pressure …

Impact of Cylinder-to-Cylinder Dispersion of Exhaust Gas Recirculation on the Three-Way Catalyst Performance and Tailpipe Emissions of Spark-Ignition Engines

P Piqueras, J De La Morena… - … for Gas Turbines …, 2024 - asmedigitalcollection.asme.org
New generations of spark-ignition engines include exhaust gas recirculation (EGR) to
improve the engine efficiency. Depending on the design of the EGR routing, some …

Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals

N Yoneya, K Amaya, K Kumano, Y Sukegawa… - … International Journal of …, 2023 - sae.org
For achieving high efficiency and low exhaust emissions, engines need to be operated near
the limits of stable combustion, such as lean or exhaust gas recirculation (EGR) conditions …

A Comparison of Virtual Sensors for Combustion Parameter Prediction of Gas Engines Based on Knock Sensor Signals

A Kefalas, A Ofner, S Posch, G Pirker, C Gößnitzer… - 2023 - sae.org
Precise prediction of combustion parameters such as peak firing pressure (PFP) or crank
angle of 50% burned mass fraction (MFB50) is essential for optimal engine control. These …

Virtual Sensors in Small Engines–Previous Successes and Promising Future Use Cases

AB Ofner, J Sjoblom, S Posch, M Neumayer, B Geiger… - 2023 - sae.org
Virtual sensing, ie, the method of estimating quantities of interest indirectly via
measurements of other quantities, has received a lot of attention in various fields: Virtual …