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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/42784
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| Title: | Rapid analysis, self-calibrating array for air monitoring |
| Authors: | Homer, Margie L.
Shevade, Abhijit V.
Lara, Liana
Huerta, Ramon
Vergara, Alexander
Muezzinoglua, Mehmet K. |
| Keywords: | sensor
sensor array
Rapid Analysis
Self Calibrating |
| Issue Date: | 15-Jul-2012 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012. |
| Citation: | 42nd International Conference on Environmental Systems San Diego, California, July 15-19, 2012. |
| Abstract: | Human space missions have critical needs for monitoring and control for life support systems. These systems have monitoring needs that include feedback for closed loop processes and quality control for environmental factors. Sensors and monitoring technologies assure that the air environment and water supply for the astronaut crew habitat fall within acceptable limits, and that the life support system is functioning properly and efficiently. The longer the flight duration and the more distant the destination, the more critical it becomes to have carefully monitored and automated control systems for life support. Past experiments with the JPL ENose have demonstrated a lifetime of the sensor array, with the software, of around 18 months. The lifetime of the calibration, for some analytes, was as long as 24 months. We are working on a sensor array and new algorithms that will include sensor response time in the analysis. The preliminary array analysis for two analytes shows that the analysis time, of an event, can be dropped from 45 minutes to less than10 minutes and array training time can be cut substantially. We will describe the lifetime testing of an array and show lifetime data on individual sensors. This progress will lead to more rapid identification of analytes, and faster training time of the array. |
| URI: | http://hdl.handle.net/2014/42784 |
| Appears in Collections: | JPL TRS 1992+
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