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Type: 
Conference
Description: 
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, In2O3 and mixed In2O3-SnO2) have been synthetized by the sol-gel method and deposited by spin-coating onto 2 mm times 2 mm 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.
Publisher: 
IEEE
Publication date: 
26 Oct 2008
Authors: 

Simonetta Capone, Marzia Zuppa, Giovanni Montagna, Pietro Siciliano, Cosimo Distante, Francesca Caione, Antonio Paolo Carlucci

Biblio References: 
Pages: 442-445
Origin: 
SENSORS, 2008 IEEE