• DocumentCode
    1557529
  • Title

    Proportional difference estimate method for bimodal and multimodal failure distributions

  • Author

    Mu, Fuchen ; Tan, Changhua ; Xu, Mingzhen

  • Author_Institution
    Inst. of Microelectron., Peking Univ., Beijing, China
  • Volume
    48
  • Issue
    12
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    2740
  • Lastpage
    2745
  • Abstract
    Peaks appear after proportional differentiation of cumulative distribution functions of Weibull and lognormal distributions. The characteristic parameters can be extracted from the proportional difference peaks because these peaks are related to the characteristic parameters directly. On this basis, a simple method known as the proportional difference estimate (PDE) method for determining the characteristic parameters of multimodal failure distributions was developed. This method can be applied to microelectronics dielectric and interconnect reliability studies
  • Keywords
    Weibull distribution; dielectric thin films; difference equations; electromigration; failure analysis; integrated circuit interconnections; integrated circuit metallisation; integrated circuit reliability; log normal distribution; PDE method; Weibull distributions; bimodal failure distributions; characteristic parameter extraction; characteristic parameters; cumulative distribution functions; dielectric reliability; electromigration; interconnect reliability; lognormal distributions; multimodal failure distributions; proportional difference estimate; proportional difference estimate method; proportional difference operator; proportional difference peaks; proportional differentiation; time-dependent dielectric breakdown; Algorithm design and analysis; Dielectric breakdown; Distribution functions; Electric breakdown; Extrapolation; Graphics; Maximum likelihood estimation; Shape; Statistical distributions; Weibull distribution;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.974698
  • Filename
    974698