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Predicting engine parameters using the optic spectrum of the space shuttle main engine exhaust plumeThe Optical Plume Anomaly Detection (OPAD) system is under development to predict engine anomalies and engine parameters of the Space Shuttle's Main Engine (SSME). The anomaly detection is based on abnormal metal concentrations in the optical spectrum of the rocket plume. Such abnormalities could be indicative of engine corrosion or other malfunctions. Here, we focus on the second task of the OPAD system, namely the prediction of engine parameters such as rated power level (RPL) and mixture ratio (MR). Because of the high dimensionality of the spectrum, we developed a linear algorithm to resolve the optical spectrum of the exhaust plume into a number of separate components, each with a different physical interpretation. These components are used to predict the metal concentrations and engine parameters for online support of ground-level testing of the SSME. Currently, these predictions are labor intensive and cannot be done online. We predict RPL using neural networks and give preliminary results.
Document ID
19950059034
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Srivastava, Ashok N.
(University of Colorado at Boulder, Boulder, CO US, United States)
Buntine, Wray
(NASA Ames Research Center Moffett Field, CA, US, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1995
Publication Information
Publisher: American Institute of Aeronautics and Astronautics
Subject Category
Spacecraft Propulsion And Power
Report/Patent Number
AIAA PAPER 95-0954
Accession Number
95A90633
Distribution Limits
Public
Copyright
Other

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