WO2019115183A3 - Verfahren und system zur schadenserkennung eines bauteils - Google Patents

Verfahren und system zur schadenserkennung eines bauteils Download PDF

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Publication number
WO2019115183A3
WO2019115183A3 PCT/EP2018/081988 EP2018081988W WO2019115183A3 WO 2019115183 A3 WO2019115183 A3 WO 2019115183A3 EP 2018081988 W EP2018081988 W EP 2018081988W WO 2019115183 A3 WO2019115183 A3 WO 2019115183A3
Authority
WO
WIPO (PCT)
Prior art keywords
component
damage
recording
detecting damage
comparing
Prior art date
Application number
PCT/EP2018/081988
Other languages
English (en)
French (fr)
Other versions
WO2019115183A2 (de
Inventor
Daniel Wolf
Johannes Schäfer
Jochen Abhau
Original Assignee
Zf Friedrichshafen Ag
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 Zf Friedrichshafen Ag filed Critical Zf Friedrichshafen Ag
Priority to US16/772,166 priority Critical patent/US11416981B2/en
Priority to CN201880081046.7A priority patent/CN111527387B/zh
Publication of WO2019115183A2 publication Critical patent/WO2019115183A2/de
Publication of WO2019115183A3 publication Critical patent/WO2019115183A3/de

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0033—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining damage, crack or wear
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Gearings; Transmission mechanisms
    • G01M13/021—Gearings
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0091—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by using electromagnetic excitation or detection
    • 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
    • G06T7/001—Industrial image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D15/00—Transmission of mechanical power
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24137—Distances to cluster centroïds
    • G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30164—Workpiece; Machine component
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Quality & Reliability (AREA)
  • Electromagnetism (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Image Analysis (AREA)

Abstract

Die vorliegende Erfindung betrifft ein Verfahren zur Schadenserkennung eines Bauteils, aufweisend das Bereitstellen (I) einer ersten Aufnahme eines Abschnitts des Bauteils in einem Referenzzustand, das Erfassen (II) einer weiteren Aufnahme des Abschnitts des Bauteils nach bestimmungsgemäßer Verwendung, und das Vergleichen (III) der weiteren Aufnahme mit der ersten Aufnahme zum Feststellen, ob das Bauteils beschädigt ist. Bei Feststellung einer Beschädigung des Bauteils umfasst das Verfahren ferner das Abgleichen (IV) der weiteren Aufnahme mit Daten einer Beschädigungsdatenbank zum Bestimmen der Art der Beschädigung, und das Ausgeben (V) der bestimmten Beschädigungsart.
PCT/EP2018/081988 2017-12-15 2018-11-20 Verfahren und system zur schadenserkennung eines bauteils WO2019115183A2 (de)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US16/772,166 US11416981B2 (en) 2017-12-15 2018-11-20 Method and system for detecting damage to a component
CN201880081046.7A CN111527387B (zh) 2017-12-15 2018-11-20 用于识别构件的损伤的方法和系统

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102017222964.0 2017-12-15
DE102017222964.0A DE102017222964A1 (de) 2017-12-15 2017-12-15 Verfahren und System zur Schadenserkennung eines Bauteils

Publications (2)

Publication Number Publication Date
WO2019115183A2 WO2019115183A2 (de) 2019-06-20
WO2019115183A3 true WO2019115183A3 (de) 2019-08-08

Family

ID=64426936

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2018/081988 WO2019115183A2 (de) 2017-12-15 2018-11-20 Verfahren und system zur schadenserkennung eines bauteils

Country Status (4)

Country Link
US (1) US11416981B2 (de)
CN (1) CN111527387B (de)
DE (1) DE102017222964A1 (de)
WO (1) WO2019115183A2 (de)

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DE102021129359A1 (de) 2021-11-11 2023-05-11 Bayerische Motoren Werke Aktiengesellschaft Verfahren und Vorrichtung zur Überprüfung einer Fuge
CN114486227B (zh) * 2022-02-18 2023-06-02 中国民用航空飞行学院 一种飞机发动机叶片无损探伤检测装置

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Also Published As

Publication number Publication date
US20210073962A1 (en) 2021-03-11
US11416981B2 (en) 2022-08-16
CN111527387A (zh) 2020-08-11
DE102017222964A1 (de) 2019-06-19
CN111527387B (zh) 2022-07-05
WO2019115183A2 (de) 2019-06-20

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