Presentation 2010-01-22
Visual Data Mining for Damage Evaluation Support of SOFC
Ken-ichi FUKUI, Shogo AKASAKI, Kazuhisa SATO, Junichiro MIZUSAKI, Masayuki NUMAO,
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Abstract(in English) SOFC (Solid Oxide Fuel Cell) attracts attention as it is a highly effient power generation sysytem as well as low-pollution. However, phyicial deterioration is concerned in addition to chemical deterioration. This paper compares the characteristics of SOM (Self-Organizing Map) and a neighbor network analysis for damage evaluation of SOFC observed by Acoustic Emission (AE) method. The SOM is suited to capture a macro damage process from transition of frequent similar AE waves. We succeeded to specify the damage of glass seal and confirmed the brief damage process. Meanwhile, since the network analysis focuses on connection among neighbors, a relation between the whole data and AE waves which are located on boundary but cluster of tight coupling can be seen. The network analysis showed a transition point which could not be found by SOM. Such visual data mining helps to clarify fracture mechanism, and expected as a foundation for monitoring, for an efficient operation control, and for lifetime prediction by comparing accumulated databases.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self-Organizing Map / Neighbor Network / Acoustic Emission / Damage Process
Paper # AI2009-25
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Committee AI
Conference Date 2010/1/15(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visual Data Mining for Damage Evaluation Support of SOFC
Sub Title (in English)
Keyword(1) Self-Organizing Map
Keyword(2) Neighbor Network
Keyword(3) Acoustic Emission
Keyword(4) Damage Process
1st Author's Name Ken-ichi FUKUI
1st Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University()
2nd Author's Name Shogo AKASAKI
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Kazuhisa SATO
3rd Author's Affiliation Institute of Mulidisciplinary Research for Advanced Materials, Tohoku University
4th Author's Name Junichiro MIZUSAKI
4th Author's Affiliation Institute of Mulidisciplinary Research for Advanced Materials, Tohoku University
5th Author's Name Masayuki NUMAO
5th Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
Date 2010-01-22
Paper # AI2009-25
Volume (vol) vol.109
Number (no) 386
Page pp.pp.-
#Pages 6
Date of Issue