<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Joshua D Carl</style></author><author><style face="normal" font="default" size="100%">Ashraf Tantawy</style></author><author><style face="normal" font="default" size="100%">Biswas, Gautam</style></author><author><style face="normal" font="default" size="100%">Xenofon D. Koutsoukos</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Detection and Estimation of Multiple Fault Profiles Using Generalized Likelihood Ratio Tests: A Case Study</style></title><secondary-title><style face="normal" font="default" size="100%">Sysid 2012, 16th IFAC Symposium on System Identification</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">07/2012</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://archive.isis.vanderbilt.edu/sites/default/files/SySID.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Brussels, Belgium</style></pub-location><pages><style face="normal" font="default" size="100%">386-391</style></pages><isbn><style face="normal" font="default" size="100%">978-3-902823-06-9</style></isbn><abstract><style face="normal" font="default" size="100%">Aircraft and spacecraft electrical power distribution systems are critical to overall system operation, but these systems may experience faults. Early fault detection makes it easier for system operators to respond and avoid catastrophic failures. This paper discusses a fault detection scheme based on a tunable generalized likelihood algorithm. We discuss the detector algorithm, and then demonstrate its performance on test data generated from a spacecraft power distribution testbed at NASA Ames. Our results show high detection accuracy and low false alarm rates.</style></abstract><work-type><style face="normal" font="default" size="100%">Conference Paper</style></work-type></record></records></xml>