Growth analysis of neighbor network for evaluation of damage progress

Ken Ichi Fukui; Kazuhisa Sato; Junichiro Mizusaki; Kazumi Saito; Masahiro Kimura; Masayuki Numao

doi:10.1007/978-3-642-01307-2_98

Growth analysis of neighbor network for evaluation of damage progress

Ken Ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, Masayuki Numao

ENG - Fracture and Reliability Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009
Pages	933-940
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-01307-2_98
Publication status	Published - 2009
Event	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 - Bangkok, Thailand Duration: 2009 Apr 27 → 2009 Apr 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5476 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009
Country/Territory	Thailand
City	Bangkok
Period	09/4/27 → 09/4/30

Keywords

Cluster coefficient
Complex network
Degree
Effective diameter
Temporal analysis

Access to Document

10.1007/978-3-642-01307-2_98

Cite this

Fukui, K. I., Sato, K., Mizusaki, J., Saito, K., Kimura, M., & Numao, M. (2009). Growth analysis of neighbor network for evaluation of damage progress. In 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 (pp. 933-940). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5476 LNAI). https://doi.org/10.1007/978-3-642-01307-2_98

Fukui, Ken Ichi ; Sato, Kazuhisa ; Mizusaki, Junichiro et al. / Growth analysis of neighbor network for evaluation of damage progress. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. 2009. pp. 933-940 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d1711ea156034dfc9fdc77841df74335,

title = "Growth analysis of neighbor network for evaluation of damage progress",

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.",

keywords = "Cluster coefficient, Complex network, Degree, Effective diameter, Temporal analysis",

author = "Fukui, {Ken Ichi} and Kazuhisa Sato and Junichiro Mizusaki and Kazumi Saito and Masahiro Kimura and Masayuki Numao",

year = "2009",

doi = "10.1007/978-3-642-01307-2_98",

language = "English",

isbn = "3642013066",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "933--940",

booktitle = "13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009",

note = "13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 ; Conference date: 27-04-2009 Through 30-04-2009",

}

Fukui, KI, Sato, K, Mizusaki, J, Saito, K, Kimura, M & Numao, M 2009, Growth analysis of neighbor network for evaluation of damage progress. in 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5476 LNAI, pp. 933-940, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, Bangkok, Thailand, 09/4/27. https://doi.org/10.1007/978-3-642-01307-2_98

Growth analysis of neighbor network for evaluation of damage progress. / Fukui, Ken Ichi; Sato, Kazuhisa; Mizusaki, Junichiro et al.
13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. 2009. p. 933-940 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5476 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Growth analysis of neighbor network for evaluation of damage progress

AU - Fukui, Ken Ichi

AU - Sato, Kazuhisa

AU - Mizusaki, Junichiro

AU - Saito, Kazumi

AU - Kimura, Masahiro

AU - Numao, Masayuki

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Cluster coefficient

KW - Complex network

KW - Degree

KW - Effective diameter

KW - Temporal analysis

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DO - 10.1007/978-3-642-01307-2_98

M3 - Conference contribution

AN - SCOPUS:67650692150

SN - 3642013066

SN - 9783642013065

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 933

EP - 940

BT - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009

T2 - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009

Y2 - 27 April 2009 through 30 April 2009

ER -

Fukui KI, Sato K, Mizusaki J, Saito K, Kimura M, Numao M. Growth analysis of neighbor network for evaluation of damage progress. In 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. 2009. p. 933-940. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-01307-2_98

Growth analysis of neighbor network for evaluation of damage progress

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Keywords

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