GLR Tests for Fault Detection over Sliding Data Windows
2005 (English)In: Proceedings of the 16th IFAC World Congress, 2005, 124-124 p.Conference paper (Refereed)
The Generalized Likelihood Ratio (GLR) test for fault detection as derived by Willsky and Jones is a recursive method to detect additive changes in linear systems in a Kalman filter framework. Here, we evaluate the GLR test on a sliding window and compare it to stochastic parity space approaches. Robust fault detection defined as being insensitive to faults in the signal space is also studied in the GLR framework.
Place, publisher, year, edition, pages
2005. 124-124 p.
Fault detection, Statistical signal processing, Robust estimation, Parity space
National CategoryEngineering and Technology Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-24536DOI: 10.3182/20050703-6-CZ-1902.00125Local ID: 6694ISBN: 978-3-902661-75-3OAI: oai:DiVA.org:liu-24536DiVA: diva2:244857
16th IFAC World Congress, Prague, Czech Republic, July, 2005