caa a22 4500 475843231 CHVBK 20180406123906.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1023/A:1010712214335 doi (NATIONALLICENCE)springer-10.1023/A:1010712214335 Eddy Current Signal Deconvolution Technique for the Improvement of Steam Generator Tubing Burst Pressure Predictions [Elektronische Daten] [M. Petri, T. Wei, D. Kupperman, J. Reifman, J. Morman] Eddy current techniques are extremely sensitive to the presence of axial cracks in nuclear power plant steam generator tube walls, but they are equally sensitive to the presence of dents, fretting, support structures, corrosion products, and other artifacts. Eddy current signal interpretation is further complicated by cracking geometries more complex than a single axial crack. Although there has been limited success in classifying and sizing defects through artificial neural networks, the ability to predict tubing integrity has, so far, eluded modelers. In large part, this lack of success stems from an inability to distinguish crack signals from those arising from artifacts. We present here a new signal processing technique that deconvolves raw eddy current voltage signals into separate signal contributions from different sources, which allows signals associated with a dominant crack to be identified. The signal deconvolution technique, combined with artificial neural network modeling, significantly improves the prediction of tube burst pressure from bobbin-coil eddy current measurements of steam generator tubing. Plenum Publishing Corporation, 2000 Steam generator tubing nationallicence eddy currents nationallicence signal processing nationallicence artificial neural networks nationallicence burst pressure nationallicence Petri M. Argonne National Laboratory, 60439, Argonne, Illinois aut Wei T. aut Kupperman D. aut Reifman J. aut Morman J. aut Journal of Nondestructive Evaluation Kluwer Academic Publishers-Plenum Publishers 19/4(2000-12-01), 149-164 0195-9298 19:4<149 2000 19 10921 https://doi.org/10.1023/A:1010712214335 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1010712214335 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Petri M. Argonne National Laboratory, 60439, Argonne, Illinois aut NATIONALLICENCE 700 1- Wei T. aut NATIONALLICENCE 700 1- Kupperman D. aut NATIONALLICENCE 700 1- Reifman J. aut NATIONALLICENCE 700 1- Morman J. aut NATIONALLICENCE 773 0- Journal of Nondestructive Evaluation Kluwer Academic Publishers-Plenum Publishers 19/4(2000-12-01), 149-164 0195-9298 19:4<149 2000 19 10921 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer