Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance
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Michael Pecht | Hongfu Zuo | Michael Pecht | Wenbin Wang | Wenbin Wang | Jianzhong Sun | M. Pecht | Hongfu Zuo | Wenbin Wang | Jianzhong Sun
[1] Samuel H. Huang,et al. System health monitoring and prognostics — a review of current paradigms and practices , 2006 .
[2] Donghua Zhou,et al. Remaining useful life estimation - A review on the statistical data driven approaches , 2011, Eur. J. Oper. Res..
[3] C. Joseph Lu,et al. Using Degradation Measures to Estimate a Time-to-Failure Distribution , 1993 .
[4] Wenbin Wang,et al. A prognosis model for wear prediction based on oil-based monitoring , 2007, J. Oper. Res. Soc..
[5] Kaisa Simola,et al. Application of stochastic filtering for lifetime prediction , 2006, Reliab. Eng. Syst. Saf..
[6] M. Farid Golnaraghi,et al. Prognosis of machine health condition using neuro-fuzzy systems , 2004 .
[7] Jianbo Yu,et al. A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems , 2008, 2008 International Conference on Prognostics and Health Management.
[8] Michael Osterman,et al. Remaining life assessment of aging electronics in avionic applications , 2003, Annual Reliability and Maintainability Symposium, 2003..
[9] Donghua Zhou,et al. Real-time Reliability Prediction for a Dynamic System Based on the Hidden Degradation Process Identification , 2008, IEEE Transactions on Reliability.
[10] A. H. Christer,et al. Towards a general condition based maintenance model for a stochastic dynamic system , 2000, J. Oper. Res. Soc..
[11] Jay Lee,et al. A prognostic algorithm for machine performance assessment and its application , 2004 .
[12] C. James Li,et al. Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanics , 2005 .
[13] Ying Peng,et al. Current status of machine prognostics in condition-based maintenance: a review , 2010 .
[14] Yi-Guang Li,et al. Gas turbine performance prognostic for condition-based maintenance , 2009 .
[15] Michael J. Roemer,et al. Predicting remaining life by fusing the physics of failure modeling with diagnostics , 2004 .
[16] Daming Lin,et al. A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .
[17] Michael Pecht,et al. A life consumption monitoring methodology for electronic systems , 2003 .
[18] George J. Vachtsevanos,et al. A particle-filtering approach for on-line fault diagnosis and failure prognosis , 2009 .
[19] Abhinav Saxena,et al. Damage propagation modeling for aircraft engine run-to-failure simulation , 2008, 2008 International Conference on Prognostics and Health Management.
[20] Yifan Zhou,et al. Latent degradation indicators estimation and prediction : a Monte Carlo approach , 2011 .
[21] D. C. Swanson,et al. A general prognostic tracking algorithm for predictive maintenance , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).
[22] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[23] Nicholas G. Polson,et al. Practical filtering with sequential parameter learning , 2008 .
[24] Peter W. Tse,et al. Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural Networks , 1999 .
[25] M.G. Pecht,et al. Prognostics and health management of electronics , 2008, IEEE Transactions on Components and Packaging Technologies.
[26] Joseph Mathew,et al. Rotating machinery prognostics. State of the art, challenges and opportunities , 2009 .
[27] Asok Ray,et al. Stochastic modeling of fatigue crack dynamics for on-line failure prognostics , 1996, IEEE Trans. Control. Syst. Technol..
[28] Dong Wang,et al. Robust health evaluation of gearbox subject to tooth failure with wavelet decomposition , 2009 .
[29] Bo-Suk Yang,et al. Support Vector Machine for Machine Fault Diagnosis and Prognosis , 2008 .
[30] Siem Jan Koopman,et al. State Space and Unobserved Component Models: Theory and Applications , 2004 .
[31] Geir Storvik,et al. Particle filters for state-space models with the presence of unknown static parameters , 2002, IEEE Trans. Signal Process..
[32] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[33] Peng Wang,et al. Fault prognostics using dynamic wavelet neural networks , 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[34] Jonathan S. Litt,et al. User's Guide for the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) , 2007 .