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Pratt & Whitney Applies ‘Big Data’ to Predict Engine Maintenance Frequency and Planning

Singapore. Pratt & Whitney, a United Technologies Corp company, has developed a new modeling and predictive tool to enhance its maintenance service offerings and increase customer value.

Expanding its data analytics capabilities, Pratt & Whitney’s Big Data project leverages its deep engine design understanding with broad operational, maintenance and environmental data, such as flight length and the environment in which the engine is operated, to determine the impact of these combined factors to refine the predictability of average time between heavy maintenance shop visits.

“Our goal is to help our customers get the most value out of their engines throughout the entire lifecycle,” said Matthew Bromberg, President of Pratt & Whitney Aftermarket. “Predictive analytics, such as this new project, help us examine how different environments – altitude, climate and pollution – affect the performance of our engines. This allows us to better forecast shop visits, better manage our customers’ fleet maintenance and improve our engineering in the long term.”

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