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- Affiliations (edit)
- NASA/ARC SGT
I have been working in the intelligent data understanding group at NASA since 2005. During this time I have become familiar with many anomaly detection algorithms and feature extraction techniques such as IMS, Orca, SVMs, sequenceMiner, PLS, NMF, PCA, ICA, and wavelets. With these techniques I have worked on a number of vehicle health management projects including anomaly detection in the space shuttle main engine liquid propulsion system, anomaly discovery in commercial airline flight data, space shuttle optical plume analysis, space shuttle flow control valve fault detection, ARES ground diagnosis fault detection, and various other vehicle health management projects.
(edit description)Last Added Resources
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Curated 4 Class Anomaly Detection Data Set
A Dataset, Sample Flight Data - 1 year, 3 months ago
Shared By: Bryan Matthews
This data contains a 160 second window snapshot of ~99K flights on final approach when the flights are crossing 1,000 ft before touchdown. There are ...
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A Publication, Bryan Matthews's Collection - 8 years ago
Shared By: Bryan Matthews
The National Airspace (NAS) is constantly changing and adapting to new and complex challenges, and as a result Next Generation Air Transportation System (NextGen) will ...
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Automated Discovery of Flight Track Anomalies
A Publication, Bryan Matthews's Collection - 8 years, 11 months ago
Shared By: Bryan Matthews
As new technologies are developed to handle the complexities of the Next Generation Air Transportation System (NextGen), it is increasingly important to address both current ...
