Due to increasing energy consumption, an aging grid infrastructure and the growing use of renewable resources, stress on grid assets (e.g. transformers, feeders and sub stations, etc.) is reaching potentially dangerous levels.
To avoid catastrophic failure and minimize operational risk, utilities require advanced diagnostic and monitoring tools that enable predictive maintenance.
mPrest's Asset Health Management application provides real-time monitoring, powerful analytics, highly accurate predictions and alerts on the present and future condition of transformers and other grid assets, enabling utilities to implement more effective condition-based maintenance (CBM).
Download this brochure to understand the benefits of this product:
- Real-time predictive and preventive maintenance to avoid failures and extend asset life
- Lower TCO with reduced operational risks
- Advanced machine-learning based abnormality detection (above and below thresholds)