• DocumentCode
    2231979
  • Title

    Testability demonstration method of electronic equipment based on hypergeometric distribution

  • Author

    Yanheng, Ma ; Jiuqiang, Han ; Gang, Li

  • Author_Institution
    Dept. of Inf. & Commun. Eng., XIAN JIAO TONG Univ., Xian, China
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    2172
  • Lastpage
    2175
  • Abstract
    Fault detection rate (FDR) and fault isolation rate (FIR) were used for electronic equipment testability demonstration usually, but they were not fit for the current electronic test equipment characteristic. So the demonstration indexes, fault detection coverage (FDC) and fault isolation coverage (FIC) were put forward in this paper. Hypergeometric distribution was instead of binomial distribution to show detecting success ratio. Then maximum likelihood estimate was application in point estimation. Bayes¿ formula was used for interval estimation. And testability demonstration rule was put forward. At last, an example was given to approve the validity and practicability of the new method.
  • Keywords
    Bayes methods; binomial distribution; electronic equipment testing; fault diagnosis; maximum likelihood estimation; Bayes formula; binomial distribution; demonstration index; electronic test equipment; fault detection coverage; fault detection rate; fault isolation coverage; fault isolation rate; hypergeometric distribution; interval estimation; maximum likelihood estimate; point estimation; testability demonstration; Educational institutions; Electronic equipment; Electronic equipment testing; Fault detection; Finite impulse response filter; Gaussian distribution; Maximum likelihood detection; Maximum likelihood estimation; Optical communication equipment; Test equipment; Hypergeometric distribution; electronic equipment; testability demonstration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738256
  • Filename
    4738256