Asset Health Management
Preventing Catastrophic Transformer Failure
Due to ever-increasing energy consumption, an aging grid infrastructure and the growing use of renewable resources, stress on transformers is reaching potentially dangerous levels. Not only are transformers operating at a higher capacity for longer durations, they are also experiencing more volatile demand changes than in the past.
The damage from a catastrophic transformer failure can run into tens of millions of dollars. To avoid such a scenario, power utilities are moving towards continuous transformer condition monitoring, based on analysis of data from online dissolved gas analysis (DGA) and other sensors.
mPrest Asset Health Management System
mPrest's comprehensive Asset Health Management system provides real-time monitoring, powerful analytics, highly accurate predictions and alerts regarding the condition of transformers and other critical assets.
The system collects data from multiple transformer sensors (e.g., online DGA, temperature, load, acoustic, and RFI sensors), incorporates historical data and performs advanced analytics to detect abnormalities even when they occur between thresholds. These machine-learning algorithms let you identify trends and predict situations where DGA levels are likely to cross a threshold soon, enabling real-time predictive maintenance.
By combining standards-based transformer testing with advanced analytics and predictive capabilities, mPrest helps you avoid unplanned downtime, lower maintenance costs and extend transformer lifetime.
Benefits for Power Utilities
- Real-time predictive and preventive maintenance to ensure business continuity
- Lower TCO with reduced operational risks
- Longer transformer lifecycle with condition-based maintenance
- Optimized fleet ranking for prioritized maintenance
- Seamless integration of new sensors for a more complete health assessment
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