Abstract
A time series based minitoring and diagnosis system has been formulated. The system incorporates a cross entropy minimization method, based on the nearest neighbor classification rule, and a cross entropy dissimilarity measure to classify a new observation of vibration states into one of a set of prestudied standard vibration patterns.
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