Visualization of Damage Progress in Solid Oxide Fuel Cells

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Author(s)

    • FUKUI Ken-ichi
    • The Institute of Scientific and Industrial Research, Osaka University
    • AKASAKI Shogo
    • Graduate School of Information Science and Technology, Osaka University|DENSO Corporation
    • SATO Kazuhisa
    • Institute of Multidisciplinary Research for Advanced Materials, Tohoku University
    • MIZUSAKI Junichiro
    • Institute of Multidisciplinary Research for Advanced Materials, Tohoku University
    • MORIYAMA Koichi
    • The Institute of Scientific and Industrial Research, Osaka University
    • NUMAO Masayuki
    • The Institute of Scientific and Industrial Research, Osaka University

Abstract

The fuel cell is regarded as a highly efficient, low-pollution power generation system. In particular, Solid Oxide Fuel Cell (SOFC) has a high generation efficiency. However, a crucial issue in putting SOFC to practical use is the establishment of a technique for evaluating the deterioration. We previously developed a technique by which to measure the mechanical damage of SOFC using the Acoustic Emission (AE) method. In the present paper, we applied the kernel Self-Organizing Map (SOM), which is an extended neural network model, to produce a cluster map reflecting the similarity of AE events. The obtained map visualized the change in occurrence patterns of similar AE events, revealing four phases of damage progress. The methodology of the present study provides a common foundation for a comprehensive damage evaluation system and a damage monitoring system.

Journal

  • Journal of Environment and Engineering

    Journal of Environment and Engineering 6(3), 499-511, 2011

    The Japan Society of Mechanical Engineers

Cited by:  1

Codes

  • NII Article ID (NAID)
    130000667092
  • Text Lang
    ENG
  • Article Type
    Journal Article
  • Data Source
    CJPref  J-STAGE 
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