Increase efficiency of your maintenance/repair plans with coverage across the following elements
• State (Normal, Warning, Critical, Failure)
• Type (Electrical/Thermal/Mechanical)
• Component (Core, Windings, Oil, Bushing)
Intuitive UI for fleet management
Conduct fleet analysis for monitoring transformer health states
Use historical data to your advantage
Reference cases with similar historic behavior based on DGA records, operating periods and maintenance logs
Auto-reporting
Reports generated automatically at your preferred schedule, or on-demand
Substation Demo
GuardiOne® Substation uses a deep-learning model to diagnose and predict transformer health, by analyzing offline DGA (Dissolved Gas Analysis) data gathered from oil-filled transformers.
GuardiOne® Substation analyzes DGA(Dissolved Gas Analysis) data from to prevent catastrophic failures. It provides not only high accuracy of diagnosis but also predicts the future possible condition of each transformer using AI algorithm.
Get a demo to experience the effect of reducing downtime, maximizing facility utilization, and reducing recovery costs through our predictive maintenance solution.
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