Abstract — In this work we proposed a system based on metal oxide gas micro-sensors to estimate diesel or gasoline contamination in different engine oil samples. The gas-sensing layers (undoped, Pt, Pd, Rh-doped SnO2 , In2 O3 and mixed In2 O3 -SnO2 ) have been synthetized by the sol-gel method and deposited by spin-coating onto 2mm x 2mm silicon substrates equipped by Pt heater on the back and Pt interdigitated electrodes on the front. The sensor array has been exposed to no-used and used commercial engine oil samples contaminated with different amounts of unburned fuel. The results of data analysis (DWT-based feature extraction, PCA and Gaussian mixture model classifier (GMM)) showed that different fuel contaminated used engine oils can be discriminated and successfully classified by the sensor array.

Application of a gas sensors array to the detection of fuel as contamination defect in engine oil

CAPONE, Simonetta;ZUPPA, Marzia;SICILIANO, PIETRO;DISTANTE, Cosimo;CARLUCCI, Antonio Paolo
2008-01-01

Abstract

Abstract — In this work we proposed a system based on metal oxide gas micro-sensors to estimate diesel or gasoline contamination in different engine oil samples. The gas-sensing layers (undoped, Pt, Pd, Rh-doped SnO2 , In2 O3 and mixed In2 O3 -SnO2 ) have been synthetized by the sol-gel method and deposited by spin-coating onto 2mm x 2mm silicon substrates equipped by Pt heater on the back and Pt interdigitated electrodes on the front. The sensor array has been exposed to no-used and used commercial engine oil samples contaminated with different amounts of unburned fuel. The results of data analysis (DWT-based feature extraction, PCA and Gaussian mixture model classifier (GMM)) showed that different fuel contaminated used engine oils can be discriminated and successfully classified by the sensor array.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/373548
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