Predictive maintenance for critical grid assets has become a "must have" capability for power utilities.
Due to volatile shifts in energy demand, an aging grid infrastructure and growing use of renewable resources, stress on grid assets is reaching potentially dangerous levels.
NYPA, one of the US largest generation power utilities, partnered with mPrest to develop a real time Asset Health Management application to detect abnormal behavior in power transformers, predict potential failures and recommend what steps should be taken to avoid failure. Today this product is in operational use throughout NYPA generation facilities.
Download this case study to learn how mPrest has helped NYPA to:
- Prevent potential asset failures using predictive analytics
- Optimize fleet maintenance by predicting future health condition
- Detect abnormalities in transformer behavior regardless of thresholds