Johnson, Don H.2009-06-042009-06-041999Walker, Raymond Leroy, Jr. "Change detection using types for non-stationary processes." (1999) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17311">https://hdl.handle.net/1911/17311</a>.https://hdl.handle.net/1911/17311Space 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.47 p.application/pdfengCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.StatisticsAerospace engineeringElectronicsElectrical engineeringChange detection using types for non-stationary processesThesisTHESIS E.E. 1999 WALKER