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Ma et al., 2022 - Google Patents

Classification of damage types in liquid-filled buried pipes based on deep learning

Ma et al., 2022

Document ID
15158190002796819731
Author
Ma Q
Du G
Yu Z
Yuan H
Wei X
Publication year
Publication venue
Measurement Science and Technology

External Links

Snippet

In long-distance pipelines, this type of local damage can lead to different forms of damage. Ultrasound (UT)-guided wave technology can detect channel damage at a distance and reduce the workforce and material resources. Deep learning has the advantages of high …
Continue reading at iopscience.iop.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/22—Details, e.g. general constructional or apparatus details
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures

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