Predictive 'health' analytics IoT system to protect NYS power grid

March 09, 2017 //By Nick Flaherty
Predictive 'health' analytics IoT system to protect NYS power grid
A groundbreaking predictive health analytics application is being rolled out to protect the power systems and grid in real time across New York State.

The Asset Health Management IoT application from Israeli sotware developer mPrest Systems for the New York Power Authority (NYPA) monitors the operational health of NYPA transformers in real time. This helps improve reliability and maximize efficiencies at NYPA’s Niagara Power Plant, which is one of the largest renewable energy sources in the US. 

mPrest’s software taps into the Industrial Internet of Things (IIoT) to closely monitor equipment and systems outfitted with online and offline sensors, allowing for real time monitoring and data analysis as well as enhanced control capabilities. At the Niagara Power Plant, the software analyses information from sensors on electrical transformers to automatically diagnose their operational health and predict potential malfunctions and failures.

These new capabilities enable strategic maintenance of the transformers optimizing their efficiency, avoiding outages, reducing operational costs and supporting reliable power supply. The software combines offline dissolved gas analysis (DGA) with online DGA to provide precise guidance for when to undertake transformer maintenance for optimal performance.

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