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Volumn 4, Issue , 2002, Pages 3994-3999

Probabilistic fault detection in finite-state machines based on state occupancy measurements

Author keywords

[No Author keywords available]

Indexed keywords

FINITE AUTOMATA; MATHEMATICAL MODELS; PROBABILITY; SET THEORY; STATISTICAL METHODS;

EID: 0036994458     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (13)
  • 6
    • 0026827004 scopus 로고
    • Simple finite state fault detectors for communication networks
    • March
    • A. Bouloutas, G. W. Hart, and M. Schwartz, "Simple finite state fault detectors for communication networks," IEEE Transactions on Communications, vol. 40, pp. 477-479, March 1992.
    • (1992) IEEE Transactions on Communications , vol.40 , pp. 477-479
    • Bouloutas, A.1    Hart, G.W.2    Schwartz, M.3
  • 7
    • 0027544759 scopus 로고
    • Fault detection with multiple observers
    • January
    • C. Wang and M. Schwartz, "Fault detection with multiple observers," IEEE/ACM Transactions on Networking, vol. 1, pp. 48-55, January 1993.
    • (1993) IEEE/ACM Transactions on Networking , vol.1 , pp. 48-55
    • Wang, C.1    Schwartz, M.2
  • 8
    • 4243743826 scopus 로고    scopus 로고
    • Diagnosis of asynchronous discrete event systems, a net unfolding approach
    • Tech. Rep. RR-4181, IRISA, France, May
    • A. Benveniste, E. Fabre, C. Jard, and S. Haar, "Diagnosis of asynchronous discrete event systems, a net unfolding approach," Tech. Rep. RR-4181, IRISA, France, May 2001.
    • (2001)
    • Benveniste, A.1    Fabre, E.2    Jard, C.3    Haar, S.4
  • 12
    • 0037079674 scopus 로고    scopus 로고
    • Hoeffding's inequality for uniformly ergodic Markov chains
    • P. W. Glynn and D. Ormoneit, "Hoeffding's inequality for uniformly ergodic Markov chains," Statistics and Probability Letters, vol. 56, pp. 143-146, 2002.
    • (2002) Statistics and Probability Letters , vol.56 , pp. 143-146
    • Glynn, P.W.1    Ormoneit, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.