FR3119259B1 - Anomaly detection in mechanical parts - Google Patents

Anomaly detection in mechanical parts Download PDF

Info

Publication number
FR3119259B1
FR3119259B1 FR2100808A FR2100808A FR3119259B1 FR 3119259 B1 FR3119259 B1 FR 3119259B1 FR 2100808 A FR2100808 A FR 2100808A FR 2100808 A FR2100808 A FR 2100808A FR 3119259 B1 FR3119259 B1 FR 3119259B1
Authority
FR
France
Prior art keywords
volume images
mechanical parts
mechanical
phase
mechanical part
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
FR2100808A
Other languages
French (fr)
Other versions
FR3119259A1 (en
Inventor
Quispe Arturo Mendoza
Estelle Marie Laure Parra
Julien Paul Schneider-Die-Gross
Stéphane Roux
Clément Jailin
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.)
Centre National de la Recherche Scientifique CNRS
Safran SA
Ecole Normale Superieure de Paris Saclay
Original Assignee
Centre National de la Recherche Scientifique CNRS
Safran SA
Ecole Normale Superieure de Paris Saclay
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 Centre National de la Recherche Scientifique CNRS, Safran SA, Ecole Normale Superieure de Paris Saclay filed Critical Centre National de la Recherche Scientifique CNRS
Priority to FR2100808A priority Critical patent/FR3119259B1/en
Publication of FR3119259A1 publication Critical patent/FR3119259A1/en
Application granted granted Critical
Publication of FR3119259B1 publication Critical patent/FR3119259B1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06—Recognition of objects for industrial automation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/12—Acquisition of 3D measurements of objects

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

Procédé de détection d’anomalie dans une pièce mécanique, comportant une phase de création de modèles de la pièce mécanique et une phase d’application des modèles à la pièce mécanique, le procédé étant caractérisé en ce que la phase de création de modèles de la pièce mécanique comporte une étape (E3) de corrélation d’images volumiques étendue, CIVe, des images volumiques d’une base de données d’images volumiques de pièces mécaniques, avec l’une des images volumiques de la base de données d’images volumiques de pièces mécaniques choisie comme image de référence, de manière à définir des données représentatives de champs de déplacement entre chacune des images volumiques de la base de données d’images volumiques de pièces mécaniques et l’image de référence. Figure pour l’abrégé : figure 1Method for detecting anomaly in a mechanical part, comprising a phase of creating models of the mechanical part and a phase of applying the models to the mechanical part, the method being characterized in that the phase of creating models of the mechanical part comprises a step (E3) of correlation of extended volume images, CIVe, of the volume images of a database of volume images of mechanical parts, with one of the volume images of the image database volumes of mechanical parts chosen as reference image, so as to define data representative of displacement fields between each of the volume images of the database of volume images of mechanical parts and the reference image. Figure for abstract: Figure 1

FR2100808A 2021-01-28 2021-01-28 Anomaly detection in mechanical parts Active FR3119259B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR2100808A FR3119259B1 (en) 2021-01-28 2021-01-28 Anomaly detection in mechanical parts

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2100808 2021-01-28
FR2100808A FR3119259B1 (en) 2021-01-28 2021-01-28 Anomaly detection in mechanical parts

Publications (2)

Publication Number Publication Date
FR3119259A1 FR3119259A1 (en) 2022-07-29
FR3119259B1 true FR3119259B1 (en) 2023-04-14

Family

ID=75953967

Family Applications (1)

Application Number Title Priority Date Filing Date
FR2100808A Active FR3119259B1 (en) 2021-01-28 2021-01-28 Anomaly detection in mechanical parts

Country Status (1)

Country Link
FR (1) FR3119259B1 (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR3010523B1 (en) 2013-09-06 2015-09-25 Safran PROCESS FOR CHARACTERIZING A PIECE OF COMPOSITE MATERIAL
FR3044142B1 (en) 2015-11-24 2017-11-17 Safran METHOD FOR NON-DESTRUCTIVE CONTROL OF A PART FOR AERONAUTICS
FR3050274B1 (en) 2016-04-18 2019-04-05 Safran METHOD OF TOPOLOGICAL ANALYSIS OF A COMPOSITE PIECE
FR3050826B1 (en) 2016-05-02 2018-04-20 Safran METHOD OF NON-DESTRUCTIVE CONTROL BY LEARNING

Also Published As

Publication number Publication date
FR3119259A1 (en) 2022-07-29

Similar Documents

Publication Publication Date Title
Guizar-Sicairos et al. Efficient subpixel image registration algorithms
Stoughton et al. Sheet metal formability analysis for anisotropic materials under non-proportional loading
Nordbotten et al. An improved analytical solution for interface upconing around a well
Chen et al. Minimization of grid orientation effects through use of higher order finite difference methods
FR3119259B1 (en) Anomaly detection in mechanical parts
Baelden et al. A dual grid curved beam finite element model of piston rings for improved contact capabilities
Wei et al. Is the zero Reynolds number approximation valid for ciliary flows?
FR3119255B1 (en) Anomaly detection in mechanical parts
FR3060169B1 (en) DETECTION OF NERFS IN A SERIES OF ECHOGRAPHIC IMAGES
Labergere et al. Numerical simulation of sheet hydroforming taking into account analytical pressure and fluid flow
Tabjula et al. Feature extraction techniques for noisy distributed acoustic sensor data acquired in a wellbore
Mishra Exploring the diagnostic capability of RTA type curves
Montési et al. Spacing of faults at the scale of the lithosphere and localization instability: 1. Theory
Maleki et al. Rapid classification of primary cementing flows
GB2600284A (en) Method for predicting annular fluid expansion in a borehole
Hüffner et al. Are complex black-box models for Permanent Downhole Gauge pressure estimation necessary?
Chaaba Reliability assessment by analytical calculation of the plastic collapse load of thin pressure vessels with strain hardening and large deformation
CN106155342B (en) Predict the method and device of user's word to be entered
Harris Potential pitfalls in exploration and production applications of machine learning
FR3051250B1 (en) OPTICAL RESONATOR FOR A SENSOR DEVICE USED TO DETECT A FLUID AND SENSOR DEVICE FOR ITS IMPLEMENTATION AS WELL AS DETECTION METHOD
Frohlich et al. Reply to “Comment on ‘A Historical Review of Induced Earthquakes in Texas’ by Cliff Frohlich, Heather DeShon, Brian Stump, Chris Hayward, Matt Hornbach, and Jacob I. Walter” by Steve Everley
Zhou et al. Drill pipe counting method based on local dense optical flow estimation
Hensleigh Geomorphic change detection using multi-beam SONAR
Lianfa et al. Determination of material parameters of welded tube via digital image correlation and reverse engineering technology
Groche et al. Numerical analysis of the potential of deep drawing processes with hydrostatic pressure lubrication

Legal Events

Date Code Title Description
PLFP Fee payment

Year of fee payment: 2

PLSC Publication of the preliminary search report

Effective date: 20220729

PLFP Fee payment

Year of fee payment: 3

PLFP Fee payment

Year of fee payment: 4