Novel statistical technique of defective information extraction in pulsed eddy current NDE

The pulsed eddy current (PEC) technique as complementary approach of traditional eddy current method has found increasing applications in deep flaw detection and complex structure inspection. Considering the present PEC NDE (non-destructive evaluation) needs valid algorithms and techniques to implement signal processing in time domain, the novel statistical technique based on principle component analysis (PCA) and independent component analysis (ICA) is proposed to extract defective information from transient PEC signals and evaluate flaw inspection during the PEC detection. The presented results of defect classification associated with different flaw types validated the feasibility of proposed technique in this paper.