A Sensor Array for Control of Engine Exhaust After-treatment Systems

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