Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life
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DOI: 10.1016/j.ress.2012.03.008
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References listed on IDEAS
- Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
- Niu, Gang & Yang, Bo-Suk & Pecht, Michael, 2010. "Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 786-796.
- Cadini, F. & Zio, E. & Avram, D., 2009. "Model-based Monte Carlo state estimation for condition-based component replacement," Reliability Engineering and System Safety, Elsevier, vol. 94(3), pages 752-758.
- Zio, Enrico & Di Maio, Francesco, 2010. "A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 49-57.
- van der Weide, J.A.M. & Pandey, M.D. & van Noortwijk, J.M., 2010. "Discounted cost model for condition-based maintenance optimization," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 236-246.
- Myötyri, E. & Pulkkinen, U. & Simola, K., 2006. "Application of stochastic filtering for lifetime prediction," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 200-208.
- Tinga, Tiedo, 2010. "Application of physical failure models to enable usage and load based maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(10), pages 1061-1075.
- Baraldi, Piero & Razavi-Far, Roozbeh & Zio, Enrico, 2011. "Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions," Reliability Engineering and System Safety, Elsevier, vol. 96(4), pages 480-488.
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Keywords
Ensemble; k-fold cross validation; Weighting schemes; Data-driven prognostics; RUL prediction;All these keywords.
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