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

Author:

Baptista Marcia,Henriques Elsa M.P.,de Medeiros Ivo P.,Malere Joao P.,Nascimento Cairo L.,Prendinger Helmut

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference28 articles.

1. A survey of data-driven prognostics;Schwabacher,2005

2. Data driven prognostics using a Kalman filter ensemble of neural network models;Peel,2008

3. Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life;Hu;Reliab Eng Syst Saf,2012

4. A comparison of filter-based approaches for model-based prognostics;Daigle,2012

5. Understanding the Kalman filter;Meinhold;Am Stat,1983

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