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- W2150248060 abstract "The generalized likelihood ratio (GLR) test employs two steps in identification of failures. The first involves the use of Kalman filter for the unfailed system to generate the innovation, or residual sequence. In the second step, by means of description of various hypothesized failure modes, the likelihood ratio is computed and maximized. Comparison of this maximum ratio to a threshold value yields the failure decision (failed or unfailed). The authors extend this strategy for dynamic stochastic systems with unknown inputs." @default.
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- W2150248060 date "2002-11-19" @default.
- W2150248060 modified "2023-09-24" @default.
- W2150248060 title "Robust failure detection from the generalized likelihood ratio test" @default.
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- W2150248060 doi "https://doi.org/10.1109/cdc.1995.480696" @default.
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