@inproceedings{6e932ef97c2c4ec481a33b9c1c362764,
title = "Acoustic emission signal processing technique to characterize reactor in-pile phenomena",
abstract = "Existing and developing advanced sensor technologies and instrumentation will allow non-intrusive in-pile measurement of temperature, extension, and fission gases when coupled with advanced signal processing algorithms. The transmitted measured sensor signals from inside to the outside of containment structure are corrupted by noise and are attenuated, thereby reducing the signal strength and the signal-to-noise ratio. Identification and extraction of actual signal (representative of an in-pile phenomenon) is a challenging and complicated process. In the paper, empirical mode decomposition technique is utilized to reconstruct actual sensor signal by partially combining intrinsic mode functions. Reconstructed signal will correspond to phenomena and/or failure modes occurring inside the reactor. In addition, it allows accurate non-intrusive monitoring and trending of in-pile phenomena.",
author = "Vivek Agarwal and Tawfik, \{Magdy S.\} and Smith, \{James A.\}",
note = "Publisher Copyright: {\textcopyright} 2015 AIP Publishing LLC.; 41st Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2014 ; Conference date: 20-07-2014 Through 25-07-2014",
year = "2015",
doi = "10.1063/1.4914764",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
pages = "1468--1475",
editor = "Chimenti, \{Dale E.\} and Bond, \{Leonard J.\}",
booktitle = "41st Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 34",
}