ANOMALY DETECTION APPARATUS, PROBABILITY DISTRIBUTION LEARNING APPARATUS, AUTOENCODER LEARNING APPARATUS, DATA TRANSFORMATION APPARATUS, AND PROGRAM

摘要

An anomaly detection technique which realizes high accuracy while reducing cost required for normal model learning is provided. An anomaly detection apparatus includes an anomaly degree estimating unit configured to estimate an anomaly degree indicating a degree of anomaly of anomaly detection target equipment from sound emitted from the anomaly detection target equipment (hereinafter, referred to as anomaly detection target sound) based on association between a first probability distribution indicating distribution of normal sound emitted from one or more pieces of equipment different from the anomaly detection target equipment and normal sound emitted from the anomaly detection target equipment (hereinafter, referred to as normal sound for adaptive learning).