A neural network approach to anomaly detection in spectra

35th Aerospace Sciences Meeting and Exhibit

Volumn , Issue , 1997, Pages 1-13

  Bcnzing, Daniel A ^a   Whitaker, Kevin W ^a   Moore, Dedra C ^a  

^a University of Alabama   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSPACE ENGINEERING; EMISSION SPECTROSCOPY; ENGINES; EXPERT SYSTEMS; FAULT DETECTION; NETWORK ARCHITECTURE; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SPACE PLATFORMS; SPACE SHUTTLES;

EMISSION SPECTRUMS; FAULT DETECTION SYSTEMS; NEURAL-NETWORK PROCESSING; RADIAL BASIS FUNCTION NEURAL NETWORKS; REAL-TIME ASSESSMENT; SENSOR DATA ANALYSIS; SPACE SHUTTLE MAIN ENGINES; VISUAL OBSERVATIONS;

REAL TIME SYSTEMS;

EID: 84983115060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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4. Wallace, T. L., Powers, W. T., and Cooper, A.E., "Simulation of UV Atomic Radiation for Application in Exhaust Plume Spectrometry," Proceedings of the 29th Joint Propulsion Conference and Exhibit, AIAA Paper 93-2512, Monterey, CA, 1993.
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8. D.A. Benzing, K.W. Whitaker, and K. Krishnakumar, "SSME Condition Monitoring Using Neural Networks and Plume Spectral Signatures", Proceedings of the 32nd AIAA/ASME/SAE/ASEE Joint Propulsion Conference A1AA Paper 96-2824, Lake Buena Vista, FL, July 1996.
9. Montgomery, D. C., and Peck, E. A., Introduction to Linear Regression Analysis, John Wiley & Sons, Inc., 1992.