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• W1931322010 abstract "Processing of the stator current of three-phase induction machines is a widely used technique for obtaining health state information. Most of the spectral components of the current depend on the slip, a parameter related to the load. A Bayesian approach associated with a Monte Carlo Markov chain algorithm is proposed to analyze the stator current of the healthy machine during steady-state operation, i.e., to estimate the slip and the noise variance. This approach allows us to take into account a priori information on the signal and to eliminate all the unknown and uninteresting stator current parameters. Several parameter prior assignments are discussed and results on real data are given." @default.
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• W1931322010 date "2002-11-27" @default.
• W1931322010 modified "2023-09-25" @default.
• W1931322010 title "On the choice of prior for induction motor parameters estimation using MCMC methods" @default.
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• W1931322010 doi "https://doi.org/10.1109/ssap.1998.739367" @default.
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