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1. WO2021037885 - METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATED DEFECT DETECTION DURING BORESCOPING OF AN ENGINE

Publication Number WO/2021/037885
Publication Date 04.03.2021
International Application No. PCT/EP2020/073808
International Filing Date 26.08.2020
IPC
G01N 21/88 2006.01
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws, defects or contamination
G01N 21/95 2006.01
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws, defects or contamination
95characterised by the material or shape of the object to be examined
G01N 21/954 2006.01
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws, defects or contamination
95characterised by the material or shape of the object to be examined
954Inspecting the inner surface of hollow bodies, e.g. bores
G06T 7/00 2017.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
CPC
G01N 2021/8883
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws or contamination
8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
8883involving the calculation of gauges, generating models
G01N 2021/8887
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws or contamination
8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
8887based on image processing techniques
G01N 21/8851
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws or contamination
8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
G01N 21/9515
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws or contamination
95characterised by the material or shape of the object to be examined
9515Objects of complex shape, e.g. examined with use of a surface follower device
G01N 21/954
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws or contamination
95characterised by the material or shape of the object to be examined
954Inspecting the inner surface of hollow bodies, e.g. bores
G06T 2207/20084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20084Artificial neural networks [ANN]
Applicants
  • LUFTHANSA TECHNIK AG [DE]/[DE]
Inventors
  • HUBERT, Wiebke
  • PETERS, Jan Oke
  • LANG, Eva
  • PLATHO, Matthias
  • APPEL, Alexander
Agents
  • GLAWE DELFS MOLL PARTNERSCHAFT MBB VON PATENT- UND RECHTSANWÄLTEN
Priority Data
19194447.929.08.2019EP
Publication Language German (DE)
Filing Language German (DE)
Designated States
Title
(DE) VERFAHREN UND COMPUTERPROGRAMMPRODUKT ZUR AUTOMATISIERTEN DEFEKTDETEKTION BEI EINER TRIEBWERKS-BOROSKOPIE
(EN) METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATED DEFECT DETECTION DURING BORESCOPING OF AN ENGINE
(FR) PROCÉDÉ ET PRODUIT-PROGRAMME INFORMATIQUE DE DÉTECTION DE DÉFAUT AUTOMATISÉE LORS D’UNE BOROSCOPIE DE MÉCANISME D’ENTRAÎNEMENT
Abstract
(DE)
Verfahren, und entsprechendes Computerprogrammprodukt, zur Defektdetektion, bei dem ein Video-Boroskop (2) derart in ein Triebwerk (80) eingeführt ist, dass bei Drehen einer Triebwerkswelle (83, 86) die daran befestigten Triebwerksschaufeln (90) einer Triebwerkstufe (81, 84, 85, 87) nacheinander durch den Bildbereich des Video-Boroskops (2) bewegt werden, das Verfahren umfasst die Schritte: • - Identifizieren eines möglichen Defektes an einer Triebwerksschaufel (90) durch Bilderkennung auf Basis eines Einzelbildes (10) des Video-Boroskops; • - Erfassen der Bewegung der Triebwerksschaufeln (90) im Bildbereich des Video-Boroskops durch Vergleich jeweils zweier aufeinanderfolgender Einzelbilder (10, 10'); • - Verfolgen des möglichen Defekts auf dem Videobild entlang der erfassten Bewegung durch optische Bilderkennung auf Basis der zur Bewegungserfassung verwendeten Einzelbilder (10, 10'); • - Wenn die Spur (92) eines möglichen Defekts auf dem Videobild über eine vorgegebene Länge mit der erfassten Bewegung in Richtung und Geschwindigkeit übereinstimmt: Identifizieren des möglichen Defekts als tatsächlichen Defekt.
(EN)
The invention relates to a method, and corresponding computer program product, for defect detection, in which a video borescope (2) is introduced into an engine (80) in such a way that, during rotation of an engine shaft (83, 86), the engine blades (90) of an engine stage (81, 84, 85, 87) which are fastened thereon are moved consecutively through the image area of the video borescope (2), the method comprising the following steps: • - identifying a possible defect on an engine blade (90) by image recognition based on an individual image (10) of the video borescope; • - detecting the movement of the engine blades (90) in the image area of the video borescope by comparing every two successive individual images (10, 10'); • - tracking the possible defect on the video image along the detected movement by optical image recognition based on the individual images (10, 10') used for detecting the movement; • - if the trace (92) of a possible defect on the video image corresponds over a predetermined length in direction and speed to the detected movement: identifying the possible defect as an actual defect.
(FR)
L’invention concerne un procédé et un produit-programme informatique correspondant utilisés pour la détection de défaut, ledit procédé consistant à introduire un boroscope vidéo (2) dans un mécanisme d’entraînement (80) de manière que, lors de la rotation d’un arbre de mécanisme d’entraînement (83, 86), les pales de mécanisme d’entraînement (90) d’un étage de mécanisme d’entraînement (81, 84, 85, 87), qui sont fixées sur ledit arbre, soient déplacées l’une après l’autre, dans la zone d’image du boroscope vidéo (2). Le procédé selon l’invention comprend les étapes consistant : à identifier un défaut potentiel sur une pale de mécanisme d’entraînement (90), par reconnaissance d’image sur la base d’une image individuelle (10) du boroscope vidéo ; à détecter le mouvement des pales de mécanisme d’entraînement (90) dans la zone d’image du boroscope vidéo, par comparaison de respectivement deux images individuelles (10, 10’) successives ; à suivre le défaut potentiel sur l’image vidéo le long du mouvement détecté, par reconnaissance d’image optique, sur la base des images individuelles (10, 10’) utilisées pour la détection de mouvement ; lorsque la trace (92) d’un défaut potentiel sur l’image vidéo concorde, sur une longueur prédéfinie, avec le mouvement détecté en termes de direction et de vitesse, à identifier le défaut potentiel comme défaut réel.
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