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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
