Anomaly detection technique in sound to detect faulty equipment

Abstract

The Internet of Things has become an increasingly active research field in recent years, and it is useful for collecting information from diverse sensors that can be analyzed to detect the operating status and anomalous behavior of equipment. We introduce here an anomaly detection technique in sound that can be used to detect anomalies in equipment by analyzing sounds picked up by microphones, even in environments where special sensors cannot be installed.