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Volumn 1, Issue , 2011, Pages 216-219

Detection method of intermittent faults in electronic systems based on Markov model

Author keywords

false alarm; fault detection; intermittent fault; Markov model

Indexed keywords

DETECTION METHODS; DETECTION RATES; ELECTRONIC SYSTEMS; FALSE ALARMS; INTERMITTENT FAULT; MARKOV MODEL; NEGATIVE AFFECTS;

EID: 83455201521     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCID.2011.62     Document Type: Conference Paper
Times cited : (8)

References (7)
  • 1
    • 79951600738 scopus 로고    scopus 로고
    • Research on the embedded follow-up system real-time fault diagnosis expert system
    • R
    • Wang Xiaoyu, Peng Jinye, Wang Guoqing. Research on the embedded follow-up system real-time fault diagnosis expert system[R]. Computer Measurement & Control. 2010, 18(3).
    • (2010) Computer Measurement & Control , vol.18 , Issue.3
    • Wang, X.1    Peng, J.2    Wang, G.3
  • 2
    • 83455207025 scopus 로고    scopus 로고
    • Research on electronic equipment intelligent fault diagnosis
    • R
    • Yi Hui. Research on electronic equipment intelligent fault diagnosis[R]. Computer Knowledge and Technology. 2008, 2(18).
    • (2008) Computer Knowledge and Technology , vol.2 , Issue.18
    • Yi, H.1
  • 4
    • 85066500728 scopus 로고
    • Diagnosing intermittent faults in telecommunication networksp
    • [A] . Communication for Glo-bal Users[C] . IEEE Central Texas Section of USA. IEEE
    • Blom M, Lippolt B. Diagnosing intermittent faults in telecommunication networksp[A] . Communication for Glo-bal Users[C] . Global Telecommunications Conference, 1992. IEEE Central Texas Section of USA. IEEE, 1992.
    • (1992) Global Telecommunications Conference, 1992
    • Blom, M.1    Lippolt, B.2
  • 6
    • 0029517989 scopus 로고
    • TWUCC. Fualt Modeling and Reliability Evaluations Using Artificial Neural Networks
    • ChengCS, HsuY, TWUCC. Fualt Modeling and Reliability Evaluations Using Artificial Neural Networks. IEEE Intemational Conference on Neural Network, 1995:427-432.
    • (1995) IEEE Intemational Conference on Neural Network , pp. 427-432
    • Cheng, C.S.1    Hsu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.