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FR3108184B1 - Method for predicting a failure of equipment of a mobile platform and associated device - Google Patents

Method for predicting a failure of equipment of a mobile platform and associated device Download PDF

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Publication number
FR3108184B1
FR3108184B1 FR2002542A FR2002542A FR3108184B1 FR 3108184 B1 FR3108184 B1 FR 3108184B1 FR 2002542 A FR2002542 A FR 2002542A FR 2002542 A FR2002542 A FR 2002542A FR 3108184 B1 FR3108184 B1 FR 3108184B1
Authority
FR
France
Prior art keywords
equipment
predicting
failure
flight
phase
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
FR2002542A
Other languages
French (fr)
Other versions
FR3108184A1 (en
Inventor
Philippe Dubedat
Victor Leyronas
Yannick Caillaud
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Thales SA
Original Assignee
Thales SA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Thales SA filed Critical Thales SA
Priority to FR2002542A priority Critical patent/FR3108184B1/en
Priority to PCT/EP2021/056531 priority patent/WO2021185761A1/en
Publication of FR3108184A1 publication Critical patent/FR3108184A1/en
Application granted granted Critical
Publication of FR3108184B1 publication Critical patent/FR3108184B1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64FGROUND 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
    • B64F5/00Designing, manufacturing, assembling, cleaning, maintaining or repairing aircraft, not otherwise provided for; Handling, transporting, testing or inspecting aircraft components, not otherwise provided for
    • B64F5/60Testing or inspecting aircraft components or systems
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/10Machine learning using kernel methods, e.g. support vector machines [SVM]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/01Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Automation & Control Theory (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Manufacturing & Machinery (AREA)
  • Transportation (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

Procédé de prédiction d’une panne d’un équipement d’une plateforme mobile et dispositifs associés L’invention concerne un procédé de prédiction d’une panne d’un équipement d’aéronef, à partir de données de maintenance collectées durant plusieurs vols de l’aéronef, le procédé comportant : - une phase de génération d’un jeu d’entraînement et d’un jeu de test pour un algorithme de prédiction prédisant une panne d’un équipement à partir des données de maintenance, la génération comportant un traitement distinct selon la nature du vol : vol non suivi d’une dépose de l’équipement pour cause de panne durant un intervalle de temps supérieur à un premier intervalle de temps et vol suivi d’une dépose pour cause de panne durant un intervalle de temps inférieur à un deuxième intervalle de temps, - une phase d’établissement d’un algorithme de prédiction à partir des jeux générés, et - une phase d’utilisation de l’algorithme de prédiction établi. Figure pour l'abrégé : figure 3Method for predicting a failure of equipment of a mobile platform and associated devices The invention relates to a method for predicting a failure of aircraft equipment, from maintenance data collected during several flights of the aircraft, the method comprising: - a phase of generation of a training set and of a test set for a prediction algorithm predicting a failure of an item of equipment from maintenance data, the generation comprising a separate treatment depending on the nature of the flight: flight not followed by removal of the equipment due to breakdown during a time interval greater than a first time interval and flight followed by removal due to breakdown during an interval of time less than a second time interval, - a phase of establishing a prediction algorithm from the games generated, and - a phase of using the established prediction algorithm. Figure for the abstract: figure 3

FR2002542A 2020-03-16 2020-03-16 Method for predicting a failure of equipment of a mobile platform and associated device Active FR3108184B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
FR2002542A FR3108184B1 (en) 2020-03-16 2020-03-16 Method for predicting a failure of equipment of a mobile platform and associated device
PCT/EP2021/056531 WO2021185761A1 (en) 2020-03-16 2021-03-15 Method for predicting the failure of an item of equipment of a mobile platform, and associated devices

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2002542A FR3108184B1 (en) 2020-03-16 2020-03-16 Method for predicting a failure of equipment of a mobile platform and associated device
FR2002542 2020-03-16

Publications (2)

Publication Number Publication Date
FR3108184A1 FR3108184A1 (en) 2021-09-17
FR3108184B1 true FR3108184B1 (en) 2023-01-20

Family

ID=70978156

Family Applications (1)

Application Number Title Priority Date Filing Date
FR2002542A Active FR3108184B1 (en) 2020-03-16 2020-03-16 Method for predicting a failure of equipment of a mobile platform and associated device

Country Status (2)

Country Link
FR (1) FR3108184B1 (en)
WO (1) WO2021185761A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114781670B (en) * 2022-04-20 2025-04-04 深圳技术大学 Laboratory equipment maintenance management methods, devices, equipment and media

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012009804A1 (en) * 2010-07-23 2012-01-26 Corporation De L'ecole Polytechnique Tool and method for fault detection of devices by condition based maintenance
US20170235796A1 (en) * 2016-02-16 2017-08-17 Taleris Global Llp Interrelation of Multiple Data Streams
US10474789B2 (en) * 2016-06-24 2019-11-12 The Boeing Company Prediction methods and systems for structural repair during heavy maintenance of aircraft
US10657736B2 (en) * 2017-09-25 2020-05-19 The Boeing Company System and method for aircraft fault detection

Also Published As

Publication number Publication date
WO2021185761A1 (en) 2021-09-23
FR3108184A1 (en) 2021-09-17

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