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The Application of Deep Learning and Computer Vision Techniques to Magnetic Flux Leakage Data to Accurately Detect and Predict Corrosion Profiles

Year: 2024

Type: conference-paper

DOI: 10.1115/ipc2024-133886

Authors: Dustin Mattio, Scott Miller, James Rodway

Institution: Baker Hughes (United States)

Language: English

Topic: Non-Destructive Testing Techniques

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4405362196

FWCI:

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