Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Lin, Daming
and
Makis, Viliam
2004.
On-line parameter estimation for a failure-prone system subject to condition monitoring.
Journal of Applied Probability,
Vol. 41,
Issue. 01,
p.
211.
Lin, Daming
and
Makis, Viliam
2004.
Filters and parameter estimation for a partially observable system subject to random failure with continuous-range observations.
Advances in Applied Probability,
Vol. 36,
Issue. 4,
p.
1212.
Ledoux, James
2005.
Recursive filters for partially observable finite Markov chains.
Journal of Applied Probability,
Vol. 42,
Issue. 03,
p.
684.
Jardine, Andrew K.S.
Lin, Daming
and
Banjevic, Dragan
2006.
A review on machinery diagnostics and prognostics implementing condition-based maintenance.
Mechanical Systems and Signal Processing,
Vol. 20,
Issue. 7,
p.
1483.
Lin, Daming
and
Makis, Viliam
2006.
On‐line parameter estimation for a partially observable system subject to random failure.
Naval Research Logistics (NRL),
Vol. 53,
Issue. 5,
p.
477.
DRAGOMIR, Otilia Elena
GOURTVEAU, Rafael
ZERHOUNI, Noureddine
and
DRAGOMIR, Florin
2007.
FRAMEWORK FOR A DISTRIBUTED AND HYBRID PROGNOSTIC SYSTEM.
IFAC Proceedings Volumes,
Vol. 40,
Issue. 18,
p.
431.
Adjengue, Luc
Yacout, Soumaya
and
Ilk, Ozlem
2007.
Parameters Estimation for Condition Based Maintenance with Uncorrelated and Correlated Observations.
Quality Engineering,
Vol. 19,
Issue. 3,
p.
197.
Ghasemi, A.
Yacout, S.
and
Ouali, M. S.
2007.
Optimal condition based maintenance with imperfect information and the proportional hazards model.
International Journal of Production Research,
Vol. 45,
Issue. 4,
p.
989.
Wang, Wenbin
2008.
Complex System Maintenance Handbook.
p.
111.
El-Koujok, M.
Gouriveau, R.
and
Zerhouni, N.
2008.
Towards a Neuro-Fuzzy System for Time Series Forecasting in Maintenance Applications.
IFAC Proceedings Volumes,
Vol. 41,
Issue. 2,
p.
12855.
Wang, Wenbin
and
Carr, Matthew
2010.
A stochastic filtering based data driven approach for residual life prediction and condition based maintenance decision making support.
p.
1.
Ghasemi, A.
Yacout, S.
and
Ouali, M.-S.
2010.
Evaluating the Reliability Function and the Mean Residual Life for Equipment With Unobservable States.
IEEE Transactions on Reliability,
Vol. 59,
Issue. 1,
p.
45.
Dragomir, Otilia Elena
Dragomir, Florin
Gouriveau, Rafael
and
Minca, Eugenia
2010.
Medium term load forecasting using ANFIS predictor.
p.
551.
Rui Jiang
Kim, Michael Jong
and
Makis, Viliam
2010.
Residual life prediction for systems subject to condition monitoring.
Ghasemi, Alireza
Yacout, Soumaya
and
Ouali, M-Salah
2010.
Parameter Estimation Methods for Condition-Based Maintenance With Indirect Observations.
IEEE Transactions on Reliability,
Vol. 59,
Issue. 2,
p.
426.
Dragomir, Otilia Elena
Dragomir, Florin
Gouriveau, Rafael
and
Minca, Eugenia
2010.
Forecasting of Renewable Energy Balance on Medium Term.
IFAC Proceedings Volumes,
Vol. 43,
Issue. 8,
p.
495.
El-Koujok, Mohamed
Gouriveau, Rafael
and
Zerhouni, Noureddine
2010.
A neuro-fuzzy self built system for prognostics: a way to ensure good prediction accuracy by balancing complexity and generalization.
p.
1.
Si, Xiao-Sheng
Wang, Wenbin
Hu, Chang-Hua
and
Zhou, Dong-Hua
2011.
Remaining useful life estimation – A review on the statistical data driven approaches.
European Journal of Operational Research,
Vol. 213,
Issue. 1,
p.
1.
Wang, W.
and
Carr, M. J.
2011.
Complex Engineering Service Systems.
p.
297.
El-Koujok, Mohamed
Gouriveau, Rafael
and
Zerhouni, Noureddine
2011.
Reducing arbitrary choices in model building for prognostics: An approach by applying parsimony principle on an evolving neuro-fuzzy system.
Microelectronics Reliability,
Vol. 51,
Issue. 2,
p.
310.