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- W2038259248 abstract "In the US majority of the trucks, buses and off-road vehicles are diesel powered. The advancement in technology and better designs have narrowed the differences between the diesel and gasoline engines making it a leading candidate for passenger cars. Due to this emergence the Department of Energy (DOE) and Environmental Protection Agency (EPA) have enforced strict emission regulations for diesel emissions. To attain a reduction in emissions, sensor development is needed for use in emission control systems for control and diagnostic purposes. The various ceramic-based gas sensors developed at the Center for Industrial Measurements and Sensors (CISM) have the capability for measuring exhaust gas concentrations. But unfortunately these sensors are subjected to interferences from other gas species. A methodology for predicting the gas concentrations from the sensor responses when there is interference from other gas species is proposed in this paper. The sensor array for gas concentration prediction is developed using Artificial Neural Networks (Back Propagation). The developed sensor array had the ability to predict gas concentration. A detailed description about the methodology is presented and discussed in detail as well as the future work about the extension and application of the sensor array is also mentioned in this paper." @default.
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- W2038259248 date "2005-01-01" @default.
- W2038259248 modified "2023-10-06" @default.
- W2038259248 title "A SENSOR ARRAY FOR CONTROL OF ENGINE EXHAUST AFTER-TREATMENT SYSTEMS" @default.
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- W2038259248 doi "https://doi.org/10.3182/20050703-6-cz-1902.01927" @default.
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