Transforming asset health management

2 April 2018



Israeli company mPrest (provider of mission-critical monitoring, big data analytics and control software for the energy sector) and the New York Power Authority (NYPA) have announced the release of an updated version of the asset health management software that they co-developed. The software helps to predict failures in electricity generation transformers before they occur.


Israeli company mPrest (provider of mission-critical monitoring, big data analytics and control software for the energy sector) and the New York Power Authority (NYPA) have announced the release of an updated version of the asset health management software that they co-developed. The software helps to predict failures in electricity generation transformers before they occur. 

Israeli company mPrest (provider of mission- critical monitoring, big data analytics and control software for the energy sector) and the New York Power Authority (NYPA) have announced the release of an updated version of the asset health management software that they co-developed. The software helps to predict failures in electricity generation transformers before they occur.

After contributing significantly to mPrest’s transformer health management product and its successful implementation at NYPA’s Robert Moses Niagara power plant, NYPA has installed the system at its Blenheim-Gilboa pumped storage facility in Schoharie County and its 500 MW combined cycle power plant in Queens. It is currently also being rolled out to the St Lawrence power project.

Version 2.0 enhances mPrest’s asset health product with new analytics tools and support for new assets and new sensors. This version introduces, among other functions, lube-oil monitoring within generation and transmission elements, as well as aggregation of trend data on lubricating oils with other data types. The product combines sensor data with data from commonly used dissolved gas analysis (DGA) to create a comprehensive picture of transformer health in real time.

mPrest’s software uses advanced prediction and smart analytics technologies to monitor all sensor-enabled transformer equipment while also analysing offline measurements in a single application and dashboard. It provides operators with a comprehensive view of transformer function, predicted health and recommended maintenance actions. 



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