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dc.contributor.advisor Johnson, Don H.
dc.creatorWalker, Raymond Leroy, Jr
dc.date.accessioned 2009-06-04T06:36:33Z
dc.date.available 2009-06-04T06:36:33Z
dc.date.issued 1999
dc.identifier.urihttps://hdl.handle.net/1911/17311
dc.description.abstract Space shuttle operation requires the monitoring of a large number of stationary signals in the search for "anomalies." This problem amounts to determining whether a change has occurred in a signal having a partially known structure. We employ empirical methods based on type theory to tackle this problem. We show that through pre-processing of the signal and through modifications in the type method itself, certain types of changes can be detected. The probability of detection, and probability of false alarm are determined by the amount of training data and a threshold, both of which are under user control.
dc.format.extent 47 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectStatistics
Aerospace engineering
Electronics
Electrical engineering
dc.title Change detection using types for non-stationary processes
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Statistics
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.citation Walker, Raymond Leroy, Jr. "Change detection using types for non-stationary processes." (1999) Master’s Thesis, Rice University. https://hdl.handle.net/1911/17311.


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