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Volumn 1507, Issue , 2015, Pages 185-192

Data-driven monitoring of cyber-physical systems leveraging on big data and the internet-of-things for diagnosis and contro

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA ACQUISITION; DIGITAL STORAGE; EMBEDDED SYSTEMS; FAULT DETECTION; INTERNET OF THINGS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MONITORING; PLANT MANAGEMENT;

EID: 84961385029     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (57)

References (29)
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    • Klar, D.1    Huhn, M.2    Gruhser, J.3
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    • Jiang Jin. Fault tolerant control systems - an introductory overview. Acta Automatica Sinica, 31(1):161-174, 2005.
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    • Jin, J.1
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    • Security monitoring: Network security for the 21st century
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    • Schneier, B.1
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    • From modelbased control to data-driven control: Survey, classification and perspective
    • Zhong-Sheng Hou and Zhuo Wang. From modelbased control to data-driven control: Survey, classification and perspective. Information Sciences, 235:3-35, 2013.
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    • Hou, Z.-S.1    Wang, Z.2
  • 28
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    • Data driven fault diagnosis and fault tolerant control: Some advances and possible new directions
    • Hongm Wang, Tian-You Chai, Jin-Liang Ding, and Martin Brown. Data driven fault diagnosis and fault tolerant control: some advances and possible new directions. Acta Automatica Sinica, 25(6):739-747, 2009.
    • (2009) Acta Automatica Sinica , vol.25 , Issue.6 , pp. 739-747
    • Wang, H.1    Chai, T.-Y.2    Ding, J.-L.3    Brown, M.4
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    • On data-driven control theory: The state of the art and perspective
    • Z. S. Hou and J. X. Xu. On data-driven control theory: the state of the art and perspective. Acta Automatica Sinica, 35:650-667, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.