Detection and Estimation of Multiple Fault Profiles Using Generalized Likelihood Ratio Tests: A Case Study
Author
Abstract

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.

Year of Publication
2012
Conference Name
Sysid 2012, 16th IFAC Symposium on System Identification
Date Published
07/2012
Conference Location
Brussels, Belgium
ISBN Number
978-3-902823-06-9
Attachments
Document
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