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Rafael Gouriveau
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2010 – 2019
- 2018
- [j13]Kamran Javed, Rafael Gouriveau
, Xiang Li, Noureddine Zerhouni:
Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model. J. Intell. Manuf. 29(8): 1873-1890 (2018) - 2017
- [j12]Simon Morando, Samir Jemei
ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state network. Math. Comput. Simul. 131: 283-294 (2017) - 2016
- [j11]Marine Jouin, Rafael Gouriveau
Degradations analysis and aging modeling for health assessment and prognostics of PEMFC. Reliab. Eng. Syst. Saf. 148: 78-95 (2016) - [j10]Marine Jouin, Rafael Gouriveau
Joint Particle Filters Prognostics for Proton Exchange Membrane Fuel Cell Power Prediction at Constant Current Solicitation. IEEE Trans. Reliab. 65(1): 336-349 (2016) - [c7]Kamran Javed, Rafael Gouriveau, Noureddine Zerhouni, Daniel Hissel
PEM fuel cell prognostics under variable load: A data-driven ensemble with new incremental learning. CoDIT 2016: 252-257 - 2015
- [j9]Kamran Javed, Rafael Gouriveau
A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering. IEEE Trans. Cybern. 45(12): 2626-2639 (2015) - [j8]Kamran Javed, Rafael Gouriveau
Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics. IEEE Trans. Ind. Electron. 62(1): 647-656 (2015) - [c6]Kamran Javed, Rafael Gouriveau
Improving accuracy of long-term prognostics of PEMFC stack to estimate remaining useful life. ICIT 2015: 1047-1052 - [c5]Elodie Lechartier, Rafael Gouriveau
Parametric sensitivity analysis of a PEMFC physics-based model developed for prognostics. ICPHM 2015: 1-7 - 2014
- [j7]Yongping Pan
Machine health condition prediction via online dynamic fuzzy neural networks. Eng. Appl. Artif. Intell. 35: 105-113 (2014) - [j6]Kamran Javed, Rafael Gouriveau
SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization. Neurocomputing 123: 299-307 (2014) - [j5]Emmanuel Ramasso
Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions. IEEE Trans. Reliab. 63(2): 555-566 (2014) - 2013
- [c4]Simon Morando, Samir Jemei
Fuel Cells prognostics using echo state network. IECON 2013: 1632-1637 - [c3]Kamran Javed, Rafael Gouriveau
Novel failure prognostics approach with dynamic thresholds for machine degradation. IECON 2013: 4404-4409 - 2012
- [j4]Rafael Gouriveau
Connexionist-Systems-Based Long Term Prediction Approaches for Prognostics. IEEE Trans. Reliab. 61(4): 909-920 (2012) - 2011
- [j3]Mohamed El-Koujok, Rafael Gouriveau
Reducing arbitrary choices in model building for prognostics: An approach by applying parsimony principle on an evolving neuro-fuzzy system. Microelectron. Reliab. 51(2): 310-320 (2011) - 2010
- [j2]Ryad A. Zemouri
Defining and applying prediction performance metrics on a recurrent NARX time series model. Neurocomputing 73(13-15): 2506-2521 (2010) - [c2]Olivier Massol, Xiang Li, Rafael Gouriveau
An exTS based neuro-fuzzy algorithm for prognostics and tool condition monitoring. ICARCV 2010: 1329-1334
2000 – 2009
- 2009
- [c1]Otilia Elena Dragomir, Rafael Gouriveau, Florin Dragomir, Eugenia Minca
Review of prognostic problem in condition-based maintenance. ECC 2009: 1587-1592 - 2004
- [j1]Rafael Gouriveau
Risk management - dependability tools and case-based reasoning integration using the object formalism. Comput. Ind. 55(3): 255-267 (2004)
Coauthor Index
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