Location

Seattle, WA

Start Date

1-1-1996 12:00 AM

Description

French PWR cooling systems include austenitic/ferritic stainless steel cast elbows. Due to the aging of these components, there is an increasing need for monitoring possible fabrication flaws near the elbow inner and outer surfaces. Various non destructive techniques are being evaluated by the EdF (French Electricity Board) for defect detection and characterization. One of these, the eddy current (EC) technique, is usually very efficient for the detection of flaws near the surface. However, large local variations in the ferrite ratio induce high structural noise thus reducing the EC detection efficiency. Image restoration using the Groshong parametric model is proposed as a means of improving the signal-to-noise ratio (SNR) and defect characterization.

Volume

15A

Chapter

Chapter 3: Signal Processing and Image Analysis

Section

Image Analysis

Pages

837-844

DOI

10.1007/978-1-4613-0383-1_109

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Eddy Current Image Restoration Using the Groshong Parametric Model

Seattle, WA

French PWR cooling systems include austenitic/ferritic stainless steel cast elbows. Due to the aging of these components, there is an increasing need for monitoring possible fabrication flaws near the elbow inner and outer surfaces. Various non destructive techniques are being evaluated by the EdF (French Electricity Board) for defect detection and characterization. One of these, the eddy current (EC) technique, is usually very efficient for the detection of flaws near the surface. However, large local variations in the ferrite ratio induce high structural noise thus reducing the EC detection efficiency. Image restoration using the Groshong parametric model is proposed as a means of improving the signal-to-noise ratio (SNR) and defect characterization.