• DocumentCode
    933252
  • Title

    A parallel algorithm for locating short circuits on printed circuit boards

  • Author

    Leung, Yiu-Wing

  • Author_Institution
    Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
  • Volume
    42
  • Issue
    3
  • fYear
    1993
  • fDate
    6/1/1993 12:00:00 AM
  • Firstpage
    746
  • Lastpage
    751
  • Abstract
    To locate all the short circuits on a printed circuit board, S.C. Fang (1990) proposed an efficient algorithm that finds the shorted paths one by one and groups these shorted paths into equivalence classes. By properly grouping the signal paths and testing one group of signal paths against another group at a time, Fang showed that this algorithm has the worst-case complexity O(χ log2 N), where N and χ are the numbers of signal paths and shorted paths, respectively. A parallel algorithm based on Fang´s algorithm is proposed for locating all the short circuits on a printed circuit board. By using M current sources of different frequencies and M bandpass filters with different passbands, this algorithm tests M groups of signal paths against M respective groups simultaneously. It is shown that this algorithm has worst-case complexity O(χ logM N) and a much smaller average complexity than Fang´s algorithm
  • Keywords
    automatic testing; band-pass filters; computational complexity; electronic engineering computing; fault location; parallel algorithms; printed circuit testing; short-circuit currents; Fang´s algorithm; PCB fault location; automatic testing; average complexity; bandpass filters; current sources; parallel algorithm; printed circuit boards; short circuits; signal paths; testing; worst-case complexity; Band pass filters; Circuit testing; Detectors; Electronic components; Electronic equipment testing; Frequency; Instruments; Manufacturing; Parallel algorithms; Printed circuits;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.231601
  • Filename
    231601