Case study

APM 360™ for Electrical Systems

By SymphonyAI team
 

The APM 360™ Anomaly Detection Engine (ADE) can be used to monitor electrical systems for potential faults, anomalies, or changes in operating conditions. It does this by using deep learning algorithms that learn the behaviour of the system from historical data. Examples of devices that can be monitored include Power Quality Meters (PQMs), Protective Relays (PRs) and transformers. The ADE monitors incoming data and raises alerts when there is a potential anomaly.

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