• DocumentCode
    958035
  • Title

    An Unsupervised Diagnosis for Process Tool Fault Detection: The Flexible Golden Pattern

  • Author

    Lacaille, Jérôme ; Zagrebnov, Maxim

  • Author_Institution
    PDF Solutions, Montpellier, France
  • Volume
    20
  • Issue
    4
  • fYear
    2007
  • Firstpage
    355
  • Lastpage
    363
  • Abstract
    The flexible golden pattern (FGP) algorithm uses a patented technology of empirical scoring to detect abnormal behavior for semiconductor processing equipment or a specific processing chamber during wafer production. This algorithm does not entirely rely on manual extraction of features from data acquired on each tool. It is able to automatically select good pattern indicators from raw (temporal) signal traces. It is able to diagnose unusual behavior disregarding specificity proper to a recipe or even a chamber or even a tool if the algorithm is calibrated for such a purpose. The algorithm does not need any complicated parameter settings; the diagnosis is established by comparison of the normal process behavior to the abnormal one.
  • Keywords
    fault location; feature extraction; semiconductor technology; abnormal behavior detection; empirical scoring; feature extraction; flexible golden pattern; process tool fault detection; semiconductor processing equipment; specific processing chamber; unsupervised fault diagnosis; wafer production; Algorithm design and analysis; Control charts; Data mining; Degradation; Fault detection; Fault diagnosis; Feature extraction; Pattern analysis; Process control; Production; Adaptive algorithm; compression; diagnostic; reconstruction; score; tube envelopes;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/TSM.2007.907608
  • Filename
    4369342