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Volumn , Issue , 2009, Pages

A systematic PHM approach for anomaly resolution: A hybrid neural fuzzy system for model construction

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT ENGINES; SYSTEMS ENGINEERING;

EID: 84920573297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (20)
  • 2
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    • Soft computing applications in prognostics and health management: A time and knowledge framework with selected case studies
    • Arlington, VA.
    • P. Bonissone (2007). Soft Computing Applications in Prognostics and Health Management: A Time and Knowledge Framework with Selected Case Studies, Proc. AAAI Fall Symposium on Artificial Intelligence for Prognostics, Arlington, VA..
    • (2007) Proc. AAAI Fall Symposium on Artificial Intelligence for Prognostics
    • Bonissone, P.1
  • 3
    • 38149044984 scopus 로고    scopus 로고
    • Soft computing applications to Prognostics and Health Management (PHM): Leveraging field data and domain knowledge
    • San Sebastián (Spain)
    • P. Bonissone. N. Iyer (2007). Soft Computing Applications to Prognostics and Health Management (PHM): Leveraging field data and domain knowledge, Proc. 9th International Work-Conference on Artificial Neural Networks (IWANN 2007), pp. 928-939, San Sebastián (Spain).
    • (2007) Proc. 9th International Work-Conference on Artificial Neural Networks (IWANN 2007) , pp. 928-939
    • Bonissone, P.1    Iyer, N.2
  • 5
    • 67650565591 scopus 로고    scopus 로고
    • Robust Model selection decision-making using a fuzzy supervisory approach
    • Nashville, TN
    • X Hu, P. Bonissone, R. Subbu (2009). Robust Model Selection Decision-making using a Fuzzy Supervisory Approach, Proc. IEEE MCDM 2009, Nashville, TN.
    • (2009) Proc. IEEE MCDM 2009
    • Hu, X.1    Bonissone, P.2    Subbu, R.3
  • 7
    • 67650521949 scopus 로고    scopus 로고
    • Research Issues in Multi Criteria Decision Making (MCDM): The impact of uncertainty in solution evaluation
    • Malaga, Spain
    • P. Bonissone (2008 b). Research Issues in Multi Criteria Decision Making (MCDM): The Impact of Uncertainty in Solution Evaluation, Proc. IPMU 2008, Malaga, Spain.
    • (2008) Proc. IPMU 2008
    • Bonissone, P.1
  • 9
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using auto-associative neural networks
    • M.A. Kramer (1991). Nonlinear Principal Component Analysis Using Auto-associative Neural Networks, AIChE Journal, 37(2): 233-243.
    • (1991) AIChE Journal , vol.37 , Issue.2 , pp. 233-243
    • Kramer, M.A.1
  • 11
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • L.A. Zadeh (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1:3-28.
    • (1978) Fuzzy Sets and Systems , vol.1 , pp. 3-28
    • Zadeh, L.A.1
  • 13
    • 0016451032 scopus 로고
    • An experiment in linguistic synthesis with a fuzzy logic controller
    • E.H. Mamdani and S. Assilian (1975). An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Machine Studies, 7(1):1-13.
    • (1975) Int. J. Man Machine Studies , vol.7 , Issue.1 , pp. 1-13
    • Mamdani, E.H.1    Assilian, S.2
  • 15
    • 38249037027 scopus 로고
    • Summarizing and propagating uncertain information with triangular norms
    • P.P. Bonissone (1987). Summarizing and Propagating Uncertain Information with Triangular Norms, International Journal of Approximate Reasoning, 1(1):71-101.
    • (1987) International Journal of Approximate Reasoning , vol.1 , Issue.1 , pp. 71-101
    • Bonissone, P.P.1
  • 18
    • 0026849990 scopus 로고
    • Autoassociative neural networks
    • M.A. Kramer (1992). Autoassociative neural networks, Computers & Chemical Engineering, 16 (4):313-328.
    • (1992) Computers & Chemical Engineering , vol.16 , Issue.4 , pp. 313-328
    • Kramer, M.A.1
  • 19
    • 0031996958 scopus 로고    scopus 로고
    • Use of autoassociative neural networks for signal validation
    • J.W. Hines, I E. Uhrig (1998). Use of Autoassociative Neural Networks for Signal Validation, Journal of Intelligent and Robotic Systems, 21(2): 143-154.
    • (1998) Journal of Intelligent and Robotic Systems , vol.21 , Issue.2 , pp. 143-154
    • Hines, J.W.1    Uhrig, I.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.