The paper deals with a real time algorithm for modeling and prediction of machine health status. It utilizes the concepts of fuzzy k-nearest neighbor clustering and the Gaussian mixture model to model the machine feature space as a loose collection of clusters representing the dynamics of the main operating modes
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Filev et al. (2006) studied this question.
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