• DocumentCode
    3235957
  • Title

    SPaRe: selective partial replication for concurrent fault detection in FSMs

  • Author

    Drineas, Petros ; Makris, Yiorgos

  • Author_Institution
    Departments of Comput. Sci. & Electr. Eng., Yale Univ., New Haven, CT, USA
  • fYear
    2003
  • fDate
    4-8 Jan. 2003
  • Firstpage
    167
  • Lastpage
    173
  • Abstract
    We propose a non-intrusive methodology for concurrent fault detection in FSMs. The proposed method is similar to duplication, wherein a replica of the circuit acts as a predictor that immediately detects potential faults by comparison to the original FSM. However, instead of duplicating the FSM, the proposed method selects a few prediction functions which only partially replicate it. Selection is guided by the objective of minimizing the incurred hardware overhead without compromising the ability to detect all faults, yet possibly introducing fault detection latency. Furthermore, in contrast to concurrent error detection approaches which presume the ability to re-synthesize the FSM and exploit parity-based state encoding, the proposed method does not interfere with the encoding and implementation of the original FSM. Experimental results indicate that the proposed method achieves significant hardware overhead reduction over duplication, while detecting more than 99% of all permanent faults with very low average fault detection latency.
  • Keywords
    fault diagnosis; finite state machines; logic testing; SPaRe; concurrent fault detection; finite state machine; logic circuit; nonintrusive methodology; prediction function; selective partial replication; Circuit faults; Circuit testing; Costs; Degradation; Delay; Electrical fault detection; Encoding; Fault detection; Hardware; Logic circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design, 2003. Proceedings. 16th International Conference on
  • ISSN
    1063-9667
  • Print_ISBN
    0-7695-1868-0
  • Type

    conf

  • DOI
    10.1109/ICVD.2003.1183132
  • Filename
    1183132