FR3118246B1 - Procédé de partitionnement de séries temporelles - Google Patents

Procédé de partitionnement de séries temporelles Download PDF

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Publication number
FR3118246B1
FR3118246B1 FR2013861A FR2013861A FR3118246B1 FR 3118246 B1 FR3118246 B1 FR 3118246B1 FR 2013861 A FR2013861 A FR 2013861A FR 2013861 A FR2013861 A FR 2013861A FR 3118246 B1 FR3118246 B1 FR 3118246B1
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time series
primary
image
boundary signal
partitioning process
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FR3118246A1 (fr
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Badr Mansouri
Alexandre Eid
Guy Clerc
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Centre National de la Recherche Scientifique CNRS
Safran Electronics and Defense SAS
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Centre National de la Recherche Scientifique CNRS
Safran Electronics and Defense SAS
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Priority to FR2013861A priority Critical patent/FR3118246B1/fr
Priority to US18/258,798 priority patent/US20240303483A1/en
Priority to PCT/EP2021/085115 priority patent/WO2022135964A1/fr
Publication of FR3118246A1 publication Critical patent/FR3118246A1/fr
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64F—GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT; DESIGNING, MANUFACTURING, ASSEMBLING, CLEANING, MAINTAINING OR REPAIRING AIRCRAFT, NOT OTHERWISE PROVIDED FOR; HANDLING, TRANSPORTING, TESTING OR INSPECTING AIRCRAFT COMPONENTS, NOT OTHERWISE PROVIDED FOR
    • B64F5/00—Designing, manufacturing, assembling, cleaning, maintaining or repairing aircraft, not otherwise provided for; Handling, transporting, testing or inspecting aircraft components, not otherwise provided for
    • B64F5/40—Maintaining or repairing aircraft
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64F—GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT; DESIGNING, MANUFACTURING, ASSEMBLING, CLEANING, MAINTAINING OR REPAIRING AIRCRAFT, NOT OTHERWISE PROVIDED FOR; HANDLING, TRANSPORTING, TESTING OR INSPECTING AIRCRAFT COMPONENTS, NOT OTHERWISE PROVIDED FOR
    • B64F5/00—Designing, manufacturing, assembling, cleaning, maintaining or repairing aircraft, not otherwise provided for; Handling, transporting, testing or inspecting aircraft components, not otherwise provided for
    • B64F5/60—Testing or inspecting aircraft components or systems
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
    • B64D45/00—Aircraft indicators or protectors not otherwise provided for
    • B64D2045/0085—Devices for aircraft health monitoring, e.g. monitoring flutter or vibration

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
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  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
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  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Transportation (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

Procédé de partitionnement comprenant les étapes de : acquérir une matrice d’observation (10) comprenant des séries temporelles (, ,…, ) ;pour chaque série temporelle :calculer une matrice de distance comprenant des valeurs de distance entre les éléments de la série temporelle, puis générer à partir de ladite matrice de distance une image primaire ;mettre en œuvre un algorithme d’apprentissage pour segmenter l’image primaire de manière à obtenir une image segmentée ;définir à partir de l’image segmentée un signal de frontière primaire représentatif des frontières ;fusionner les signaux de frontière primaires pour obtenir un signal de frontière global (52), et définir des classes à partir du signal de frontière global (52). FIGURE DE L’ABREGE : Fig.2
FR2013861A 2020-12-21 2020-12-21 Procédé de partitionnement de séries temporelles Active FR3118246B1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
FR2013861A FR3118246B1 (fr) 2020-12-21 2020-12-21 Procédé de partitionnement de séries temporelles
US18/258,798 US20240303483A1 (en) 2020-12-21 2021-12-09 Method for partitioning time series
PCT/EP2021/085115 WO2022135964A1 (fr) 2020-12-21 2021-12-09 Procédé de partitionnement de séries temporelles

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2013861 2020-12-21
FR2013861A FR3118246B1 (fr) 2020-12-21 2020-12-21 Procédé de partitionnement de séries temporelles

Publications (2)

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FR3118246A1 FR3118246A1 (fr) 2022-06-24
FR3118246B1 true FR3118246B1 (fr) 2024-11-01

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FR2013861A Active FR3118246B1 (fr) 2020-12-21 2020-12-21 Procédé de partitionnement de séries temporelles

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US (1) US20240303483A1 (fr)
FR (1) FR3118246B1 (fr)
WO (1) WO2022135964A1 (fr)

Families Citing this family (1)

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Publication number Priority date Publication date Assignee Title
CN115374711B (zh) * 2022-10-24 2022-12-27 广东工业大学 一种旋转多组件系统的寿命预测方法及相关装置

Family Cites Families (7)

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Publication number Priority date Publication date Assignee Title
JP5446834B2 (ja) * 2009-12-18 2014-03-19 ソニー株式会社 撮像装置および撮像方法
US8611700B2 (en) * 2011-09-14 2013-12-17 International Business Machines Corporation Distance map-based warping of binary images
US20170193372A1 (en) * 2016-01-06 2017-07-06 The Boeing Company Health Management Using Distances for Segmented Time Series
EP3811182A4 (fr) * 2018-06-22 2021-07-28 Magic Leap, Inc. Procédé et système pour réaliser un suivi de l'oeil à l'aide d'une caméra hors axe
JP7261883B2 (ja) * 2018-12-14 2023-04-20 スペクトラル エムディー，インコーポレイテッド 創傷の評価、治癒予測および治療のための機械学習システム
JP7303677B2 (ja) * 2019-07-03 2023-07-05 キヤノンメディカルシステムズ株式会社 医用データ処理装置、医用データ処理方法、医用データ処理プログラム及び磁気共鳴イメージング装置
US11062439B2 (en) * 2019-09-24 2021-07-13 Halliburton Energy Services, Inc. Automating microfacies analysis of petrographic images

Also Published As

Publication number Publication date
FR3118246A1 (fr) 2022-06-24
WO2022135964A1 (fr) 2022-06-30
US20240303483A1 (en) 2024-09-12

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