메뉴 건너뛰기




Volumn 138, Issue 9, 2016, Pages

Markov nonlinear system estimation for engine performance tracking

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT DETECTION; AIRCRAFT ENGINES; BAYESIAN NETWORKS; DEGRADATION; ENGINES; FAULT DETECTION; FLIGHT SIMULATORS; INFERENCE ENGINES; TRACKING (POSITION);

EID: 84963799358     PISSN: 07424795     EISSN: 15288919     Source Type: Journal    
DOI: 10.1115/1.4032680     Document Type: Article
Times cited : (26)

References (27)
  • 1
    • 78149363736 scopus 로고    scopus 로고
    • Optimal tuner selection for kalman filter-based aircraft engine performance estimation
    • Simon, D. L., and Garg, S., 2010, "Optimal Tuner Selection for Kalman Filter-Based Aircraft Engine Performance Estimation," ASME J. Eng. Gas Turbines Power, 132(3), p. 031601.
    • (2010) ASME J. Eng. Gas Turbines Power , vol.132 , Issue.3 , pp. 031601
    • Simon, D.L.1    Garg, S.2
  • 2
    • 84924388376 scopus 로고    scopus 로고
    • Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps
    • Tsoutsanis, E., Meskin, N., Benammar, M., and Khorasani, K., 2015, "Transient Gas Turbine Performance Diagnostics Through Nonlinear Adaptation of Compressor and Turbine Maps," ASME J. Eng. Gas Turbines Power, 137(9), p. 091201.
    • (2015) ASME J. Eng. Gas Turbines Power , vol.137 , Issue.9 , pp. 091201
    • Tsoutsanis, E.1    Meskin, N.2    Benammar, M.3    Khorasani, K.4
  • 3
    • 53949124103 scopus 로고    scopus 로고
    • Empirical tuning of an on-board gas turbine engine model for real-time module performance estimation
    • Volponi, A., Brotherton, T., and Luppold, R., 2008, "Empirical Tuning of an On-Board Gas Turbine Engine Model for Real-Time Module Performance Estimation," ASME J. Eng. Gas Turbines Power, 130(2), p. 021604.
    • (2008) ASME J. Eng. Gas Turbines Power , vol.130 , Issue.2 , pp. 021604
    • Volponi, A.1    Brotherton, T.2    Luppold, R.3
  • 4
    • 10244275321 scopus 로고    scopus 로고
    • Foundation of gas path analysis
    • K. Mathioudakis and C. H. Sieverding, eds., von Karman Institute, Rhode-St-Genese, Belgium
    • Volponi, A. J., 2003, "Foundation of Gas Path Analysis," Gas Turbine Condition Monitoring and Fault Diagnosis, K. Mathioudakis and C. H. Sieverding, eds., von Karman Institute, Rhode-St-Genese, Belgium, pp. 1-16.
    • (2003) Gas Turbine Condition Monitoring and Fault Diagnosis , pp. 1-16
    • Volponi, A.J.1
  • 5
    • 78149380976 scopus 로고    scopus 로고
    • Application of Bayesian forecasting to change detection and prognosis of gas turbine performance
    • Lipowsky, H., Staudacher, S., Bauer, M., and Schmidt, K. J., 2010, "Application of Bayesian Forecasting to Change Detection and Prognosis of Gas Turbine Performance," ASME J. Eng. Gas Turbines Power, 132(3), p. 031602.
    • (2010) ASME J. Eng. Gas Turbines Power , vol.132 , Issue.3 , pp. 031602
    • Lipowsky, H.1    Staudacher, S.2    Bauer, M.3    Schmidt, K.J.4
  • 7
    • 84857361309 scopus 로고    scopus 로고
    • Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance
    • Sun, J., Zuo, H., Wang, W., and Pecht, M. G., 2012, "Application of a State Space Modeling Technique to System Prognostics Based on a Health Index for Condition-Based Maintenance," Mech. Syst. Signal Process., 28, pp. 585-596.
    • (2012) Mech. Syst. Signal Process , vol.28 , pp. 585-596
    • Sun, J.1    Zuo, H.2    Wang, W.3    Pecht, M.G.4
  • 8
    • 77958041293 scopus 로고    scopus 로고
    • Current status of machine prognostics in condition-based maintenance: A review
    • Peng, Y., Dong, M., and Zuo, M. J., 2010, "Current Status of Machine Prognostics in Condition-Based Maintenance: A Review," Int. J. Adv. Manuf. Technol., 50(1), pp. 297-313.
    • (2010) Int. J. Adv. Manuf. Technol. , vol.50 , Issue.1 , pp. 297-313
    • Peng, Y.1    Dong, M.2    Zuo, M.J.3
  • 9
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • Huang, G. B., Chen, L., and Siew, C. K., 2006, "Universal Approximation Using Incremental Constructive Feedforward Networks With Random Hidden Nodes," IEEE Trans. Neural Networks, 17(4), pp. 879-892.
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.4 , pp. 879-892
    • Huang, G.B.1    Chen, L.2    Siew, C.K.3
  • 10
    • 84872343379 scopus 로고    scopus 로고
    • Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data
    • Baraldi, P., Mangili, F., and Zio, E., 2013, "Investigation of Uncertainty Treatment Capability of Model-Based and Data-Driven Prognostic Methods Using Simulated Data," Reliab. Eng. Syst. Saf., 112, pp. 94-108.
    • (2013) Reliab. Eng. Syst. Saf. , vol.112 , pp. 94-108
    • Baraldi, P.1    Mangili, F.2    Zio, E.3
  • 11
    • 33751342024 scopus 로고    scopus 로고
    • Combining classification techniques with kalman filters for aircraft engine diagnostics
    • Dewallef, P., Romessis, C., Léonard, O., and Mathioudakis, K., 2006, "Combining Classification Techniques With Kalman Filters for Aircraft Engine Diagnostics," ASME J. Eng. Gas Turbines Power, 128(2), pp. 281-287.
    • (2006) ASME J. Eng. Gas Turbines Power , vol.128 , Issue.2 , pp. 281-287
    • Dewallef, P.1    Romessis, C.2    Léonard, O.3    Mathioudakis, K.4
  • 12
    • 0031347068 scopus 로고    scopus 로고
    • New extension of kalman filter to nonlinear systems
    • Julier, S. J., and Uhlmann, J. K., 1997, "New Extension of Kalman Filter to Nonlinear Systems," Proc. SPIE, 3068, p. 182.
    • (1997) Proc. SPIE , vol.3068 , pp. 182
    • Julier, S.J.1    Uhlmann, J.K.2
  • 13
    • 84883541048 scopus 로고    scopus 로고
    • Particle filtering for state and parameter estimation in gas turbine engine fault diagnostics
    • Washington, DC, June 17-19
    • Daroogheh, N., Meskin, N., and Khorasani, K., 2013, "Particle Filtering for State and Parameter Estimation in Gas Turbine Engine Fault Diagnostics," American Control Conference (ACC), Washington, DC, June 17-19, pp. 4343-4349.
    • (2013) American Control Conference (ACC) , pp. 4343-4349
    • Daroogheh, N.1    Meskin, N.2    Khorasani, K.3
  • 14
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N. J., Salmond, D. J., and Smith, A. F. M., 1993, "Novel Approach to Nonlinear/Non-Gaussian Bayesian State Estimation," IEE Proc. F Radar Signal Process., 140(2), pp. 107-113.
    • (1993) IEE Proc. F Radar Signal Process. , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 15
    • 77951131231 scopus 로고    scopus 로고
    • A tutorial on particle filtering and smoothing: Fifteen years later
    • D. Crisan and B. Rozovsky, eds., Oxford University Press, Oxford, UK
    • Doucet, A., and Johansen, A., 2009, "A Tutorial on Particle Filtering and Smoothing: Fifteen Years Later," The Oxford Handbook of Nonlinear Filtering, D. Crisan and B. Rozovsky, eds., Oxford University Press, Oxford, UK, pp. 656-704.
    • (2009) The Oxford Handbook of Nonlinear Filtering , pp. 656-704
    • Doucet, A.1    Johansen, A.2
  • 16
    • 0035266886 scopus 로고    scopus 로고
    • Particle filters for state estimation of jump markov linear systems
    • Doucet, A., Gordon, N. J., and Krishnamurthy, V., 2001, "Particle Filters for State Estimation of Jump Markov Linear Systems," IEEE Trans. Signal Process., 49(3), pp. 613-624.
    • (2001) IEEE Trans. Signal Process. , vol.49 , Issue.3 , pp. 613-624
    • Doucet, A.1    Gordon, N.J.2    Krishnamurthy, V.3
  • 17
    • 80555125897 scopus 로고    scopus 로고
    • Application of forecasting methodologies to predict gas turbine behavior over time
    • Cavarzere, A., and Mauro, V., 2012, "Application of Forecasting Methodologies to Predict Gas Turbine Behavior Over Time," ASME J. Eng. Gas Turbines Power, 134(1), p. 012401.
    • (2012) ASME J. Eng. Gas Turbines Power , vol.134 , Issue.1 , pp. 012401
    • Cavarzere, A.1    Mauro, V.2
  • 18
    • 84920999773 scopus 로고    scopus 로고
    • Recursive maximum likelihood identification of jump markov nonlinear systems
    • Ozkan, E., Lindsten, F., Fritsche, C., and Gustafsson, F., 2013, "Recursive Maximum Likelihood Identification of Jump Markov Nonlinear Systems," IEEE Trans. Signal Process., 63(3), pp. 754-765.
    • (2013) IEEE Trans. Signal Process. , vol.63 , Issue.3 , pp. 754-765
    • Ozkan, E.1    Lindsten, F.2    Fritsche, C.3    Gustafsson, F.4
  • 19
    • 84928717428 scopus 로고    scopus 로고
    • Adaptive resampling-based particle filtering for tool life prediction
    • Wang, P., and Gao, R., 2015, "Adaptive Resampling-Based Particle Filtering for Tool Life Prediction," J. Manuf. Systems, 37, pp. 528-534.
    • (2015) J. Manuf. Systems , vol.37 , pp. 528-534
    • Wang, P.1    Gao, R.2
  • 20
    • 84870535103 scopus 로고    scopus 로고
    • Polynomial smoothing of time series with additive step discontinuities
    • Selesnick, I., Arnold, S., and Dantham, V. R., 2012, "Polynomial Smoothing of Time Series With Additive Step Discontinuities," IEEE Trans. Signal Process., 60(12), pp. 6305-6318.
    • (2012) IEEE Trans. Signal Process. , vol.60 , Issue.12 , pp. 6305-6318
    • Selesnick, I.1    Arnold, S.2    Dantham, V.R.3
  • 22
    • 84892589545 scopus 로고    scopus 로고
    • Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches
    • Li, T., Sun, S., Sattar, T., and Corchado, J., 2014, "Fight Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches," Expert Syst. Appl., 41(8), pp. 3944-3954.
    • (2014) Expert Syst. Appl. , vol.41 , Issue.8 , pp. 3944-3954
    • Li, T.1    Sun, S.2    Sattar, T.3    Corchado, J.4
  • 23
    • 84907662193 scopus 로고    scopus 로고
    • Analysis versus synthesis for trending of gas-path measurement time series
    • Borguet, S., Leonard, O., and Dewallef, P., 2015, "Analysis Versus Synthesis for Trending of Gas-Path Measurement Time Series," ASME J. Eng. Gas Turbines Power, 137(1), p. 022603.
    • (2015) ASME J. Eng. Gas Turbines Power , vol.137 , Issue.1 , pp. 022603
    • Borguet, S.1    Leonard, O.2    Dewallef, P.3
  • 24
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • Rudin, L. I., Osher, S., and Fatemi, E., 1992, "Nonlinear Total Variation Based Noise Removal Algorithms," Phys. D, 60(1), pp. 259-268.
    • (1992) Phys. D , vol.60 , Issue.1 , pp. 259-268
    • Rudin, L.I.1    Osher, S.2    Fatemi, E.3
  • 25
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • Boyd, S., Parikh, N., Chu, E., Peleato, B., and Eckstein, J., 2011, "Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers," Found. Trends Mach. Learn., 3(1), pp. 1-122.
    • (2011) Found. Trends Mach. Learn. , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 27
    • 84963861448 scopus 로고    scopus 로고
    • NASA Ames Research Center, Moffett Field, CA
    • Oza, N., 2010, "C-MAPSS Aircraft Engine Simulator Data," NASA Ames Research Center, Moffett Field, CA, https://c3.nasa.gov/dashlink/resources/140/
    • (2010) C-MAPSS Aircraft Engine Simulator Data
    • Oza, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.