Fusing physics-based and deep learning models for prognostics

Author:

Arias Chao ManuelORCID,Kulkarni Chetan,Goebel KaiORCID,Fink OlgaORCID

Funder

Ames Research Center

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Elsevier BV

Subject

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

Reference57 articles.

1. Physics-based remaining useful life prediction for aircraft engine bearing prognosis;Bolander,2009

2. A model-based prognostics approach applied to pneumatic valves;Daigle;Int J Progn Health Manag,2011

3. Model-based prognostics with concurrent damage progression processes;Daigle;IEEE Trans Syst Man Cybern A,2013

4. Schwabacher M, Goebel K. A survey of artificial intelligence for prognostics. In: Association for the advancement of artificial intelligence AAAI fall symposium 2007. 2007. p. 107–14.

5. A review on the application of deep learning in system health management;Khan;Mech Syst Signal Process,2018

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