固体酸化物燃料電池における損傷過程の可視化  [in Japanese] Visualization of Damage Progress on Solid Oxide Fuel Cell  [in Japanese]

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Author(s)

Abstract

Fuel cell is regarded as a highly efficient power generation system as well as low-pollution. In particular, SOFC (Solid Oxide Fuel Cell) has high generation efficiency. However, a crucial issue in putting SOFC into practical use is the establishment of a technique for evaluating the deterioration. We have previously developed a technique to measure the mechanical damage of SOFC using Acoustic Emission (AE) method. This paper applied the kernel Self-Organizing Map (SOM), which is an extended neural network model, to AE data observed from damage progress on SOFC to produce a cluster map reflecting similarity of AE waves. The obtained map visualized the change of occurrence patterns of similar AE waves showing four phases of damage progress. The interpretation of the result as physical phenomenon is limited at this stage, though our methodology provides a common foundation for comprehensive damage evaluation system as well as monitoring.

Journal

  • TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A

    TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A 76(762), 223-232, 2010

    The Japan Society of Mechanical Engineers

References:  25

Cited by:  4

Codes

  • NII Article ID (NAID)
    110007574728
  • NII NACSIS-CAT ID (NCID)
    AN0018742X
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    0387-5008
  • NDL Article ID
    10599004
  • NDL Source Classification
    ZM16(科学技術--科学技術一般--工業材料・材料試験)
  • NDL Call No.
    Z14-737
  • Data Source
    CJP  CJPref  NDL  NII-ELS  J-STAGE 
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