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PERF-AI

Financiado

Cerrado

Enhance Aircraft Performance and Optimisation through utilisation of Artificial...

Enhance Aircraft Performance and Optimisation through utilisation of Artificial Intelligence PERF-AI will apply Machine Learning techniques on flight data (parametric & non-parametric approaches) to accurately measure actual aircraft performance throughout its lifecycle. Within current airline operations, both at flight... ver más

31/10/2020

705K€

Presupuesto del proyecto: 705K€

Líder del proyecto

SAFETY LINE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-10-31

JTI-CS2-2017-CfP07-SYS-01-08: Application of machine learning tec...

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Cerrada hace 6 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

318.68K€ | Lider

INRIA

249.88K€ | Participante

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Duración del proyecto: 24 meses Fecha Inicio: 2018-10-10
Fecha Fin: 2020-10-31

Líder del proyecto

SAFETY LINE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 705K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto PERF-AI will apply Machine Learning techniques on flight data (parametric & non-parametric approaches) to accurately measure actual aircraft performance throughout its lifecycle. Within current airline operations, both at flight preparation (on-ground) & at flight management (in-air) levels, the trajectory is first planned, then managed by the Flight Management System (FMS) using a single manufacturer’s performance model that is the same for every aircraft of the same type, & also on weather forecast that is computed long before the flight. It induces a lack of accuracy during the planning phase with a flight route pre-established at specific altitudes & speeds to optimize fuel burn, from take-off to landing using aircraft performances that are not those of the real aircraft. Also, the actual flight will usually shift from the original plan because of Air Traffic Control (ATC) constraints, adverse weather, wind changes & tactical re-routing, without possibility for the flight crew, either using the FMS or through connected services to tactically recompute the trajectory in order to continuously optimize the flight path. This is in particular due to the limitations of the performance databases that the current systems are using. Hence, PERF-AI is focusing on identifying adequate machine learning algorithms, testing their accuracy & capability to perform flight data statistical analysis & developing mathematical models to optimize real flight trajectories with respect to the actual aircraft performance, thus, minimizing fuel consumption throughout the flight. The consortium consists of Safety-Line (FR) & INRIA (FR), having full expertise at Aircraft Performance & Data Science, hence, able to fully propose, test & validate different statistical models that will allow to accurately solve some optimization challenges & implement them in an operational environment. PERF-AI total grant request to the CSJU is 568 550€ with total project duration of 24 months.

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