Real Time Novelty Detection Modeling for Machine Health Prognostics
Dimitar Filev, Finn Tseng · 2006
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