Combining burst extraction method and sequence-based SOM for evaluation of fracture dynamics in solid oxide fuel cell

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

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) detection 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.

Original languageEnglish
Title of host publicationProceedings 19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007
Pages193-196
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007 - Patras, Greece
Duration: 2007 Oct 292007 Oct 31

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume2
ISSN (Print)1082-3409

Other

Other19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007
CountryGreece
CityPatras
Period07/10/2907/10/31

ASJC Scopus subject areas

  • Engineering(all)

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