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Aerospace Companies Look to Utilize AI & Analytics

Crashes associated with maintenance neglect prompted aerospace companies to take a hard look at implementing analytics and artificial intelligence (AI) in order to predict potential maintenance failures proactively.

eetimes.com, Feb. 14, 2019 – 

Historically, some of the worst aircraft disasters have been attributed to faulty or overlooked maintenance–and as recently as last year, maintenance was still factoring into the top five causes of domestic aircraft delays. It's prompted aerospace companies to take a hard look at implementing analytics and artificial intelligence (AI) in order to predict potential maintenance failures on aircraft before the failures happen.

As an aerospace manufacturer, Airbus is taking proactive steps to improve performance and reliability in the area of aircraft maintenance. It is doing this by migrating historical maintenance information from aircraft and fleets to a cloud-based data repository known as Skywise. Airbus is also installing systems on each aircraft in an airline's fleet to collate and record thousands of data parameters in real-time. After each flight, this data is uploaded to Skywise to be analyzed and to enable maintenance predictions for the future.

"As an example, this data can record how the pressure of a certain type of hydraulic pump is gradually reducing over time," said Norman Baker, senior vice president, Digital Solutions, at Airbus. "The Skywise analytics engine could then interpolate and 'flag' to the airline that the pump will likely be fine for the next five flights, but that failure is very likely to occur within ten more flights."

Baker said that what he was describing was a "one aircraft scenario"–however, the power of the system really comes into play when this recorded data is correlated with similar data that is continuously recorded across a whole fleet consisting of hundreds of aircraft – across all operators globally.

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