Aerospace manufacturer Pratt & Whitney is teaming up with IBM to use its Big Data technology to analyse data from more than 4,000 commercial aircraft engines in order to predict the problems before they arise
IBM's solution will be used to analyse the huge amount of data generated from aircraft engines, helping to predict any discrepancies.
The insight will help Pratt & Whitney customers with asset maintenance alerts, and deliver better insight into flight operational data.
Pratt & Whitney's president of Aftermarket, Matthew Bromberg, said: "By incorporating learnings from our military engines programmes where we are pushing the envelope in terms of monitoring capabilities, and teaming with IBM to integrate component and system health information, we will strengthen our commercial engine health analytics offering for customers."
"This will enable us to accurately and proactively monitor the health of our customers' engines and give us further visibility to plan ahead for optimised fleet operations while reducing customers' costs."
IBM GM of business analytics Alistair Rennie said: "By applying real time analytics to structured and unstructured data streams generated by aircraft engines, we can find insights and enable proactive communication and guidance to Pratt & Whitney's services network and customers."
IBM's technology will help Pratt & Whitney broaden its current performance monitoring capabilities of more than 4,000 operational commercial engines.
Pratt & Whitney expects to increase its product's engine life by up to six years by using IBM's data analytics. It will also help the company reduce its maintenance costs by 20%.
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