In an industrial context, the term “anomaly detection” refers to the use of algorithms and artificial intelligence (AI) to detect events in machines, processes or systems that deviate from normal or expected operating conditions. These deviations, also known as anomalies, can indicate problems such as machine faults, safety risks or quality defects.
Key elements of anomaly detection are data-based analysis, real-time monitoring, machine learning and the implementation of preventive measures such as maintenance or corrective actions.