Скачать или смотреть 24R2: Anomaly Detection in Asset Management

Anomaly detection plays a crucial role in asset performance management by enabling early identification of unexpected situations that could lead to asset failures. Utilizing IFS Cloud, organizations can effectively monitor critical parameters, such as bearing temperature in turbines, to detect anomalies through rule-based systems. When deviations from predefined values occur, alerts are automatically generated, notifying relevant stakeholders like reliability engineers. This proactive approach allows for better management of maintenance strategies, ultimately enhancing asset availability and minimizing downtime and repair costs. By integrating operational intelligence, anomaly detection transforms how organizations manage their assets.