Condition Monitoring: GridLife PDEye

predictive condition assessment

Partial Discharge defects monitoring and predictive maintenance, through Artificial Intelligence

Developed for reliability, PDEye generates accurate real-time warnings from PD sensor data, identifying and evaluating defects.

98% Accuracy: Ensures precision, reducing maintenance costs
AI Defect Identification: Quickly locates and evaluates PD issues
Proactive Monitoring: Instant warnings for effective maintenance
Autonomous System: Reduces the need for an expert

Automatic Clustering
and PD Separation

Categorize diverse defects automatically through clustering, considering localization, sensor ratio, wave parameters, and phase-resolved PD pattern. This results in a concise list of PD defects from a single measurement.

Automatic recognition and evaluation of insulation defects

After separating PD defects, AI identifies the defect type, affected asset, and assesses magnitude criticality.
Insulation defects recognition in XLPE, air, oil, or SF6.

AI recognition

Provides an automatic diagnosis to the technician, revealing defect type, pattern, criticality, and other parameters.
Empowers non-expert technicians to instantly assess asset conditions, save reports, and plan preventive actions.

Automated diagnosis across all elements

The Central Monitoring platform for the different PD monitoring units installed in the grid

PDEye platform can be installed on cloud or on premise and be connected to the asset management system enabling a total automated PD diagnosis across all the different elements of the grid:

Cables
Transformers
Substations and switchgear
Generators and motors
Gas insulated substations (GIS)

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PD Monitoring Solutions

Optimizing asset
management and predictive maintenance with the ideal Equipment

Enhance your grid's reliability and efficiency with PD Monitoring Solutions. Explore the ideal equipment for optimizing asset management and predictive maintenance.