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1. EP3786620 - METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATED DEFECT DETECTION IN A POWER PLANT BORESCOPE INSPECTION

Office
European Patent Office
Application Number 19194447
Application Date 29.08.2019
Publication Number 3786620
Publication Date 03.03.2021
Publication Kind A1
IPC
G01N 21/88
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
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
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
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
CPC
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
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
G06T 7/0004
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
0002Inspection of images, e.g. flaw detection
0004Industrial image inspection
Applicants LUFTHANSA TECHNIK AG
Inventors HUBERT WIEBKE
PETERS JAN OKE
LANG EVA
PLATHO MATTHIAS
APPEL ALEXANDER
Designated States
Priority Data 19194447 29.08.2019 EP
Title
(DE) VERFAHREN UND COMPUTERPROGRAMMPRODUKT ZUR AUTOMATISIERTEN DEFEKTDETEKTION BEI EINER TRIEBWERKS-BOROSKOPIE
(EN) METHOD AND COMPUTER PROGRAM PRODUCT FOR AUTOMATED DEFECT DETECTION IN A POWER PLANT BORESCOPE INSPECTION
(FR) PROCÉDÉ ET PRODUIT PROGRAMME INFORMATIQUE POUR LA DÉTECTION AUTOMATISÉE D'ERREURS D'UNE BOROSCOPIE SUR MOTEUR
Abstract
(DE)
Die Erfindung betrifft ein Verfahren und Computerprogrammprodukt zur automatisierten Defektdetektion bei einer Triebwerks-Boroskopie.Das Verfahren, bei der 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, 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.Das Computerprogrammprodukt ist zur Ausführung des Verfahrens auf einem Computer ausgelegt.

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