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Automatic Multi-Frequency Rotating-Probe Eddy-Current Data Analysis , Ping Xiang
Retrospective Theses and Dissertations
An automatic scheme for analyzing multi-frequency rotating-probe eddy-current data is proposed herein. This system integrates signal/image-processing algorithm with pattern recognition methods for accomplishing the objectives. The eddy current signals are acquired from several kinds of frequency multiplexed eddy-current rotating-probes. The problem involves the detection of the flaw signals, classifying the defect format and sizing/characterizing the defect profile. The preprocessing steps include conversion of one-dimensional data to obtain a two-dimensional image, removing background noise, suppressing structure-masking signals, and calibration. Optimal thresholding of calibrated signal based on probability of detection (POD) concepts are discussed in detail. Feature extraction and signal ...