Measurement of Corrosion Pits in Steel Plates Using a Low-Field Squid Susceptometer

A superconducting quantum interference device magnetometer system for quantitative analysis and imaging of hidden corrosion activity in aircraft aluminum structures Rev.This work combines two state-of-the-art techniques in the area of magnetic nondestructive evaluation: the application of the superconducting quantum interference device ͑SQUID͒ as the magnetic field sensor; and the use of artificial neural networks as analysis tools applied to the detected magnetic signals. Pioneering measurements using the SQUID sensor have been made in steel samples containing various types of flaws, and a neural network system, based on the time-delay neural network and radial basis function algorithms, has been implemented to characterize the flaws. The neural network system aims to, based on the measured magnetic field, provide information about defect geometry, thus allowing the assessment of defect severity, as a basis for maintenance and repair procedures.

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Nondestructive evaluation of steel structures using a superconducting quantum interference device magnetometer and a neural network system

Barbosa

Vellasco

Pacheco

et al. 2000

Review of Scientific Instruments

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Measurement of Corrosion Pits in Steel Plates Using a Low-Field Squid Susceptometer

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Nondestructive evaluation of steel structures using a superconducting quantum interference device magnetometer and a neural network system

Nondestructive evaluation of steel structures using a superconducting quantum interference device magnetometer and a neural network system

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