Apparatus and system for detecting abnormalities in industrial equipment using deep learning, machine learning, and statistical models

Abstract

The present specification discloses an anomaly detection apparatus and system for industrial equipment using deep learning, machine learning, and statistical models. According to one aspect of the present embodiment, an anomaly detection apparatus for detecting anomalies occurring in industrial equipment comprises: a communicator configured to receive an input value input into the industrial equipment or an output value output from the industrial equipment; an anomaly detector configured to detect multiple types of anomalies occurring in the industrial equipment from the input value or output value received by the communicator; and a controller configured to control the operations of the communicator and the anomaly detector.

Dependencies are inferred from the claim text.