Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering

•A Kalman-based data-driven approach to prognostics is proposed.•The model uses Kalman filtering to fuse the estimates of remaining useful life.•The performance of the solution is investigated in a real case study.•Results suggest Kalman-based models are better in precision and convergence. Data-dri...

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Veröffentlicht in:	Reliability engineering & system safety 2019-04, Vol.184, p.228-239
Hauptverfasser:	Baptista, Marcia, Henriques, Elsa M.P., de Medeiros, Ivo P., Malere, Joao P., Nascimento, Cairo L., Prendinger, Helmut
Format:	Artikel
Sprache:	eng
Schlagworte:	Aeronautics Aircraft prognostics Bleeding Data-driven techniques Generalized linear models Kalman filter Kalman filters Neural networks Real case study Regression analysis Regression models Reliability engineering Statistical models Support vector machines Useful life
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