Abstract
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<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>
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Author
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Magnus Hellring +
, Thomas Munther +
, Thorsteinn Rögnvaldsson +
, Nicholas Wickström +
, Christian Carlsson +
, Magnus Larsson +
, Jan Nytomt +
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DOI
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http://dx.doi.org/10.4271/1999-01-1161 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408957
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EndPage
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1589 +
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Issue
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03 +
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Journal
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SAE transactions +
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PublicationType
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Journal Paper +
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Publisher
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Society of Automotive Engineers +
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StartPage
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1585 +
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Title
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Robust AFR estimation using the ion current and neural networks +
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Volume
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108 +
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Year
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1999 +
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Has queryThis property is a special property in this wiki.
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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 +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:40:23 +
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