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19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007)
Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell
Paris, France
October 29-October 31
ISBN: 0-7695-3015-X
ASCII Text
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Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masayuki Numao, "Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell," Tools with Artificial Intelligence, IEEE International Conference on, vol. 2, pp. 193-196, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICTAI.2007.94,
author = {Ken-ichi Fukui and Kazuhisa Sato and Junichiro Mizusaki and Kazumi Saito and Masayuki Numao},
title = {Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {2},
year = {2007},
issn = {1082-3409},
pages = {193-196},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.94},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell
SN - 1082-3409
SP193
EP196
A1 - Ken-ichi Fukui,
A1 - Kazuhisa Sato,
A1 - Junichiro Mizusaki,
A1 - Kazumi Saito,
A1 - Masayuki Numao,
PY - 2007
VL - 2
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
A crucial issue in putting solid oxide fuel cells (SOFCs) into practical use is the establishment of a technique for evaluating the deterioration of SOFCs. We attempted to capture fracture dynamics measured by Acoustic Emission (AE) method, employing the following approaches: (1) de- tection of AE waves utilizing burst extraction method, (2) clustering of AE waves based on the burst level to identify AE types, and (3) visualization of fracture dynamics using adopted self-organizing map. We empirically validated our approach, and obtained a map that can interpret fracture dynamics as physical phenomenon.
Citation:
Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masayuki Numao, "Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell," ictai, vol. 2, pp.193-196, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007
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