Aircraft engine degradation prognostics based on logistic regression and novel OS-ELM algorithm

Online sequential extreme learning machine (OS-ELM) learns data one-by-one or chunk-by-chunk, and the recursive least square (RLS) algorithm is commonly employed to train the topological parameters of OS-ELM. Since it is hard to guarantee the smallest estimation error of the state variable by the RL...

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Veröffentlicht in:	Aerospace science and technology Jg. 84; S. 661 - 671
Hauptverfasser:	Lu, Feng, Wu, Jindong, Huang, Jinquan, Qiu, Xiaojie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Masson SAS 01.01.2019
Schlagworte:	Aircraft engine Kalman filter Online sequential learning Prognostics Remaining useful life Online sequential learning Aircraft engine Remaining useful life Kalman filter Prognostics
ISSN:	1270-9638, 1626-3219
Online-Zugang:	Volltext
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