Growth Analysis of Neighbor Network for Evaluation of Damage Progress

Authors:
Ken-Ichi Fukui;Kazuhisa Sato;Junichiro Mizusaki;Kazumi Saito;Masahiro Kimura;Masayuki Numao
Affiliations:
The Institute of Scientific and Industrial Research, Osaka University, Japan;Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Japan;Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Japan;School of Administration and Informatics, University of Shizuoka, Japan;Department of Electronics and Informatics, Ryukoku University, Japan;The Institute of Scientific and Industrial Research, Osaka University, Japan
Venue:
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Year:
2009

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Abstract

We constructed two types of neighbor networks, i.e., TOP k and k -MNN (Mutually Nearest Neighbor) networks, on observed AE (Acoustic Emission) data produced by damages in SOFC (Solid Oxide Fuel Cell). Afterwards, we analyzed growth properties of the neighbor networks for evaluation of damage progress. The results show that the power index of degree dynamically changes as damage progress phase changes. Also we found the decrease of cluster coefficient and shrinking effective diameter in k-MNN network reflect the occurrence of various combination of damages.