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Volumn 16, Issue 6, 2010, Pages 1279-1285

Application of fault detection based on adaptive threshold in the DAMDDICS benchmark problem

Author keywords

Adaptive threshold; DAMADICS benchmark problem; Fault detection; Remnant robustness

Indexed keywords

ADAPTIVE THRESHOLDS; BENCH-MARK PROBLEMS; DAMADICS BENCHMARK PROBLEM; ELLIPSOID ALGORITHM; FAULT DETECTION AND ISOLATION; MOVING AVERAGES; MULTILAYER PERCEPTION NEURAL NETWORKS; ON-LINE FAULT DETECTION; ROBUST FAULT DETECTION; SELF-ADAPTIVE; SIMULATION RESULT; UNCERTAIN MODELING;

EID: 77954877393     PISSN: 10065911     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (11)
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  • 3
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    • 33646353468 scopus 로고    scopus 로고
    • An adaptive threshold method for robust fault detection
    • in Chinese
    • Jiang Yunchun, Qiu Jing, Liu Guanjun. An adaptive threshold method for robust fault detection[J]. Journal of Astronautics, 2006, 27(1): 36-40(in Chinese).
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    • Jiang, Y.1    Qiu, J.2    Liu, G.3
  • 7
    • 46149111957 scopus 로고    scopus 로고
    • Confidence estimation of the multi-layer perception and its application in fault detection systems
    • Mrugalski M, Witczak M, Korbicz J. Confidence estimation of the multi-layer perception and its application in fault detection systems[J]. Engineering applications of Artificial Intelligence, 2008, 21(6): 895-906.
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    • Mrugalski, M.1    Witczak, M.2    Korbicz, J.3
  • 8
    • 33644612706 scopus 로고    scopus 로고
    • Introduction to the DAMADICS actuator FDI benchmark study
    • Bartys M, Patton R, Syfert M. Introduction to the DAMADICS actuator FDI benchmark study[J]. Control Engineering Practice, 2006, 14(6): 577-596.
    • (2006) Control Engineering Practice , vol.14 , Issue.6 , pp. 577-596
    • Bartys, M.1    Patton, R.2    Syfert, M.3
  • 9
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    • Actuator fault distinguishability study for the DAMADICS benchmark problem control
    • Koscielnya J M, Bartys M, Rzepiejewskia P, et al.Actuator fault distinguishability study for the DAMADICS benchmark problem control[J].Engineering Practice, 2006, 14(6): 645-652.
    • (2006) Engineering Practice , vol.14 , Issue.6 , pp. 645-652
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  • 10
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    • Passive robust fault detection using interval observers: application to the DAMADICS benchmark problem
    • Puiga V, Stancua A, Escobeta T, et al. Passive robust fault detection using interval observers: application to the DAMADICS benchmark problem[J]. Control Engineering Practice, 2006, 14(6): 621-633.
    • (2006) Control Engineering Practice , vol.14 , Issue.6 , pp. 621-633
    • Puiga, V.1    Stancua, A.2    Escobeta, T.3
  • 11
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    • A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test
    • Puig V, Witczak M, Nejjari F. A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test[J]. Engineering Applications of Artificial Intelligence, 2007, 20(7): 886-897.
    • (2007) Engineering Applications of Artificial Intelligence , vol.20 , Issue.7 , pp. 886-897
    • Puig, V.1    Witczak, M.2    Nejjari, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.