FR3098942B1 - Procédé, dispositif, programme d’ordinateur de prédiction de panne/ anomalie de démarrage d’aéronef - Google Patents

Procédé, dispositif, programme d’ordinateur de prédiction de panne/ anomalie de démarrage d’aéronef Download PDF

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Publication number
FR3098942B1
FR3098942B1 FR1908047A FR1908047A FR3098942B1 FR 3098942 B1 FR3098942 B1 FR 3098942B1 FR 1908047 A FR1908047 A FR 1908047A FR 1908047 A FR1908047 A FR 1908047A FR 3098942 B1 FR3098942 B1 FR 3098942B1
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aircraft
predicting
failure
anomaly
flight
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FR1908047A
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FR3098942A1 (fr
Inventor
Céline Alice Odette Berthou
Charles Ying
Aurore Fabienne Paule Humeau
Jean-Luc Joseph Mallorant
Pascal Thierry Souchet
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Safran Aircraft Engines SAS
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Safran Aircraft Engines SAS
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Priority to FR1908047A priority Critical patent/FR3098942B1/fr
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry

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  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Traffic Control Systems (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

L’invention concerne un procédé de prédiction de pannes et/ou anomalies de démarrage pour un futur vol d’un aéronef. Suivant l’invention, on extrait des données de vols (V) associées à un code (CPD) de panne à partir d’une base (BVA) de vols, on extrait des paramètres (PAR1) influents sur les pannes, on identifie (E3) les équipements (EQ) correspondant aux vols extraits (Vext1) à code (CPD) à partir d’une base (BVEQA) de configuration, on extrait les historiques (HPD) des vols antérieurs aux pannes (PD), on crée des indicateurs (IND) influents sur les pannes, on constitue une matrice d’historiques (HPD) et d’indicateurs, on établit un modèle (MOD) de détection d’anomalie de démarrage par apprentissage d’un dispositif de calcul sur un échantillon d’apprentissage de la matrice, on applique le modèle à un échantillon constitué à partir de l’équipement (EQF) du futur vol (VF) pour fournir une donnée (DPPD) de prédiction de panne de démarrage. Figure pour l’abrégé : figure 1
FR1908047A 2019-07-17 2019-07-17 Procédé, dispositif, programme d’ordinateur de prédiction de panne/ anomalie de démarrage d’aéronef Active FR3098942B1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR1908047A FR3098942B1 (fr) 2019-07-17 2019-07-17 Procédé, dispositif, programme d’ordinateur de prédiction de panne/ anomalie de démarrage d’aéronef

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1908047A FR3098942B1 (fr) 2019-07-17 2019-07-17 Procédé, dispositif, programme d’ordinateur de prédiction de panne/ anomalie de démarrage d’aéronef
FR1908047 2019-07-17

Publications (2)

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FR3098942A1 FR3098942A1 (fr) 2021-01-22
FR3098942B1 true FR3098942B1 (fr) 2021-11-19

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FR1908047A Active FR3098942B1 (fr) 2019-07-17 2019-07-17 Procédé, dispositif, programme d’ordinateur de prédiction de panne/ anomalie de démarrage d’aéronef

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FR (1) FR3098942B1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR3120724A1 (fr) * 2021-03-10 2022-09-16 Psa Automobiles Sa Procédé et dispositif de prédiction de panne d’au moins composant d’un véhicule
CN114801751B (zh) * 2022-06-21 2022-10-25 深圳市今朝时代股份有限公司 一种基于数据分析的汽车电池故障预测系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2458161B1 (fr) * 2010-11-24 2014-11-12 Techspace Aero S.A. Méthode de monitoring du système d'huile d'une turbomachine
FR2983528B1 (fr) * 2011-12-05 2014-01-17 Snecma Methode de surveillance d'une chaine de mesure d'un turboreacteur
US9152146B2 (en) * 2012-06-06 2015-10-06 Harris Corporation Wireless engine monitoring system and associated engine wireless sensor network
FR3016710B1 (fr) * 2014-01-20 2016-01-08 Jean-Hugues Pettre Procede de prediction d'une anomalie de fonctionnement des equipements d'un aeronef ou d'une flotte d'aeronefs
FR3052273B1 (fr) * 2016-06-02 2018-07-06 Airbus Prediction de pannes dans un aeronef
FR3068493A1 (fr) * 2017-06-28 2019-01-04 Airbus Operations Prediction de pannes dans un aeronef

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FR3098942A1 (fr) 2021-01-22

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