Anomaly detection device and anomaly detection method

Abstract

The aim is to manage signal anomalies even when there is limited measurement data for abnormal signals. [Solution] The abnormality management device 1 includes a second learning unit 13 configured to learn a generative model comprising the generator 131 and the discriminator 132. The generator parameters of the generator 131, which generates pseudo-normal data that deviates sufficiently from the distribution of true normal data, are fixed, while the second learning unit 13 updates the discriminator parameters of the discriminator 132, which distinguishes between true normal data and pseudo-normal data, in a direction that maximizes an objective function based on the probability distribution of normal data and the probability distribution of abnormal data determined from the ratio estimated by the first learning unit 12.

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