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Volumn , Issue , 2010, Pages

Model-based prognostics under limited sensing

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; COMPONENT LIFE; CONDITION BASED MAINTENANCE; DOMAIN KNOWLEDGE; FIRST-PRINCIPLES; MODEL BASED APPROACH; MODEL-BASED; PARTICLE FILTER; PERFORMANCE METRICS; PHYSICAL PHENOMENA; PHYSICS-BASED MODELS; PNEUMATIC VALVE; ROBUSTNESS OF MODEL; SENSOR SETS; SIMULATION EXPERIMENTS; SYSTEM CONSTRAINTS;

EID: 77952811777     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2010.5446822     Document Type: Conference Paper
Times cited : (64)

References (20)
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    • F. Cadini, E. Zio, and D. Avram, "Monte Carlo-based filtering for fatigue crack growth estimation," Probabilistic Engineering Mechanics, vol. 24, no. 3, pp. 367-373, 2009.
    • (2009) Probabilistic Engineering Mechanics , vol.24 , Issue.3 , pp. 367-373
    • Cadini, F.1    Zio, E.2    Avram, D.3
  • 15
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188, 2002.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 16
    • 44649107771 scopus 로고    scopus 로고
    • An overview of existing methods and recent advances in sequential Monte Carlo
    • O. Cappe, S. J. Godsill, and E. Moulines, "An overview of existing methods and recent advances in sequential Monte Carlo," Proceedings of the IEEE, vol. 95, no. 5, p. 899, 2007.
    • (2007) Proceedings of the IEEE , vol.95 , Issue.5 , pp. 899
    • Cappe, O.1    Godsill, S.J.2    Moulines, E.3
  • 17
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • G. Kitagawa, "Monte Carlo filter and smoother for non-Gaussian nonlinear state space models," Journal of Computational and Graphical Statistics, vol. 5, no. 1, pp. 1-25, 1996.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , Issue.1 , pp. 1-25
    • Kitagawa, G.1
  • 18
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, pp. 197-208, 2000.
    • (2000) Statistics and Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.