A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics. Baraldi, P., Mangili, F., & Zio, E. IEEE Transactions on Reliability, 61(4):966–977, 2012. doi bibtex @article{baraldi_kalman_2012,
title = {A {Kalman} {Filter}-{Based} {Ensemble} {Approach} {With} {Application} to {Turbine} {Creep} {Prognostics}},
volume = {61},
issn = {1558-1721},
doi = {10.1109/TR.2012.2221037},
number = {4},
journal = {IEEE Transactions on Reliability},
author = {Baraldi, P. and Mangili, F. and Zio, E.},
year = {2012},
keywords = {Computational modeling, Creep, Degradation, Kalman filter, Kalman filter-based ensemble approach, Kalman filters, Predictive models, Prognostics and health management, Turbines, ensemble, health management systems, nuclear power plants, nuclear power stations, prognostics and health management, remaining life assessment, remaining useful life, turbine blades, turbine creep prognostics, turbines},
pages = {966--977},
}
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