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Publications:Robust AFR estimation using the ion current and neural networks
Abstract <p>A robust air/fuel ratio “soft sen<p>A robust air/fuel ratio “soft sensor” is presented based on non-linear signal processing of the ion current signal using neural networks. Care is taken to make the system insensitive to amplitude variations, due to e.g. fuel additives, by suitable preprocessing of the signal.</p>ble preprocessing of the signal.</p>
Author Magnus Hellring + , Thomas Munther + , Thorsteinn Rögnvaldsson + , Nicholas Wickström + , Christian Carlsson + , Magnus Larsson + , Jan Nytomt +
DOI http://dx.doi.org/10.4271/1999-01-1161  +
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408957
EndPage 1589  +
Issue 03  +
Journal SAE transactions  +
PublicationType Journal Paper  +
Publisher Society of Automotive Engineers  +
StartPage 1585  +
Title Robust AFR estimation using the ion current and neural networks  +
Volume 108  +
Year 1999  +
Has queryThis property is a special property in this wiki. Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks + , Publications:Robust AFR estimation using the ion current and neural networks +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 30 September 2016 20:40:23  +
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