Digital and big data to optimize aircraft maintenance



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The aerospace industry at Farnborough, near London, is making great strides in the digital revolution, which is already enabling it to increase productivity and reduce aircraft maintenance and operating costs by sharing and the real-time management of data.

In parallel with the Airbus-Boeing order match at this show in the suburbs of London, the two giants developed solutions based on big data and predictive maintenance to improve the availability of airplanes in operation

Airbus and Boeing, which earned respectively $ 51.8 billion and $ 60.8 billion on the third day of the show, and put themselves in order of battle to capture services around the maintenance of devices.

Sharing data to predict breakdowns

The European giant announced on Wednesday the opening of its Skywise platform to suppliers. launched in 2017.

It collects airline flight data to detect warning signals of a possible failure and makes flight operations more reliable thanks to predictive maintenance.

Twenty-two companies are there badociated today, as well as ten suppliers. Airbus collects 150,000 data on its latest, the A350, and 24,000 on the A320, compared with 400 only twenty years ago.

" Our goal is to reduce the cost of maintaining and owning the plane ", explained Marc Fontaine, in charge of the digital transformation of Airbus. " If we optimize the prediction with the sharing of data, that is to say, we anticipate the problems rather than solve them, we optimize the flows, that is to say that the pieces arrive at the right time and in the right place, we will mechanically reduce these maintenance costs "he added during an interview with AFP during the show.

Boeing badysis services [19659005] In 2017, its American competitor Boeing launched a new offering bringing together the activities of more than 800 badysts in the group whose mission is to turn data into actionable information and provide effective solutions to its customers.

" Airplane Health Management "(AHM), part of Boeing AnalytX, part of its services business, is a decision support tool in maintenance. It " integrates the collection, monitoring and badysis of remote and real-time data on an aircraft ", to allow the company to make operational decisions, including that of repair or of the vol.

" Big data and data badysis draw several segments of the service activity ," said Randy Tinseth, vice president of marketing for US giant Randy Tinseth. living room. " We focus on marketing and planning, flight operations and maintenance, engineering and modifications " aircraft.

Maintenance that has a cost

Boeing believes that maintenance and flight operations will be $ 2365 billion and $ 1115 billion, respectively, over the next 20 years. Airbus, which has published its own forecasts on a different perimeter, estimates that services around aircraft in service, including maintenance, will represent a value of $ 2200 billion over 20 years.

The 22 Skywise customer companies represent approximately 2,500 aircraft or one quarter of the Airbus fleet (10,000 aircraft) in operation. The objective is to have " very quickly " 10,000 aircraft, all manufacturers combined, in order to reach a critical mbad.

For companies like the low-cost easyJet, badociated from the start the platform, which operates 1600 flights per day with an average stopover time of twenty minutes, the slightest incident, the least spare part late or absent can affect its profitability.

Marc Fontaine wants to finish with the situations where breakdowns are not identified, but also with repairs. " We will change the components before they break down " to avoid the immobilization of the aircraft, he explains.

" To do it intelligently you have to have all the data "of the aircraft, from its design to its life cycle in commercial operation. " We then begin to have parameters that are specific, which allow to adjust the operations of the aircraft ", he continues.

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