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RISA Model-Free Kullback–Leibler Divergence Filter for Anomaly Detection in Noisy Data Series
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We propose a Kullback–Leibler divergence (KLD) filter to extract anomalies within data series generated by a broad class of proximity sensors, along with the anomaly locations and their relative sizes. The technique applies ...