Cloud-based, machine learning-supported analysis of residual currents with warning system in the event of anomalies

e.Guard advance uses the recorded residual current data together with artificial intelligence methods to predict the future condition/status of the installation.

In addition to the functions of level THREE, e.Guard advance also offers the following key features:

  • Intelligently learns individual residual current patterns during operation (machine learning)
  • Detects and signals anomalies across all frequency components up to 100 kHz
  • Triggers an alarm if the threshold value is exceeded and/or if anomalies are detected in the residual current, e.g. creeping insulation faults, deterioration of EMC filters