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Found 2 papers, 1 papers with code
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
The interpretation of unlabeled acoustic emission (AE) data classically relies on general-purpose clustering methods.
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics
It is a particular dynamic Bayesian network that allows to represent the dynamics of a system by means of a Hidden Markov Model (HMM) and an autoregressive (AR) process.
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