A number of prognostics approaches have been proposed in the literature in support of PrM [6]. Among these, Particle Filtering (PF) is emerging as a powerful model-driven technique, capable of robustly predicting the future behavior of the probability mass distribution that describesthe uncertainty in the actual degradation state of the equipment

PF_example.m

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