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Maintenance

The conventional approach in the aviation industry is to accumulate data via big data and analyze it in order to propose fleet management optimization services. Dassault Aviation goes further with 3DExperience and the Big Data platform.

The conventional approach in the aviation industry is to accumulate data via big data and analyze it in order to propose fleet management optimization services. Dassault Aviation goes further with 3DExperience and the Big Data platform. The idea is to make continuous use of large quantities of data from various sources such as test data, repository databases and open data. The data is thus used in many company innovations, and particularly for predictive maintenance solutions, pilot support solutions, and ground assistance solutions.

Rafale - Dassault Air Scan
Rafale - Dassault Air Scan

The Digital Twin is an extension of the digital model, a product of the Dassault Aviation-Dassault Systèmes collaboration that has become a global standard. When in service, each aircraft behaves differently and requires specific maintenance operations according to the events of its operational life. A digital twin corresponds to a personalized and upgradeable digital model of a customer’s aircraft, from design to manufacturing, maintenance, and end of life. Dassault Aviation already uses a digital twin for the Rafale maintenance contract, called Ravel, signed in May 2019 with the Aviation Maintenance Division (DMAé) of the French Ministry of Armed Forces. The Big Data platform collects all the Rafale usage data from the “Fleet IS”. It allows monitoring of Ravel contract performances, generation of lessons learned, and enrichment of predictive maintenance algorithms. The platform is dual. It can securely process data from the Falcon fleets and generate what we call the individual “health records” of Falcon aircraft in service. It also helps consolidate our #1 ranking in customer support quality for business jets.

Falcon 8X
Falcon 8X
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