Defect classification using PEC respones based on power spectral density analysis combined with EMD and EEMD

The defect classification is investigated by using features-based giant-magnetoresistive pulsed eddy current (GMR-PEC) sensor. The power spectrum density of the intrinsic mode functions (IMFs) is extracted as the classification feature, considering the disadvantage of selecting a wavelet base determ...

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Veröffentlicht in:	NDT & E international : independent nondestructive testing and evaluation 2016-03, Vol.78, p.37-51
Hauptverfasser:	Peng, Ying, Qiu, Xuanbing, Wei, Jilin, Li, Chuanliang, Cui, Xiaochao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Cracks Defect classification Defects Density Empirical mode decomposition Ensemble empirical mode decomposition Feature extraction Power spectrum density analysis Principal component analysis Pulsed eddy current Spectra
Online-Zugang:	Volltext
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