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- W2253073742 abstract "A novel fault diagnosis method based on likelihood decomposition is proposed for linear stochastic systems described by autoregressive (AR) model. Assuming that at some time instant γ the fault of one of the following two types is occurs: innovation fault (actuator fault); and observation fault (sensor fault), the log-likelihood function is decomposed into two components based on the observations before and after γ, respectively, Then, the type of the fault is determined by comparing the log-likelihoods corresponding two types of faults. Numerical examples demonstrate the usefulness of the proposed diagnosis method." @default.
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- W2253073742 date "1992-10-01" @default.
- W2253073742 modified "2023-09-23" @default.
- W2253073742 title "Fault Diagnosis Based on Likelihood Decomposition" @default.
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