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...

Full description

Bibliographic Details

Published in:	Aerospace science and technology Vol. 84; pp. 661 - 671
Main Authors:	Lu, Feng, Wu, Jindong, Huang, Jinquan, Qiu, Xiaojie
Format:	Journal Article
Language:	English
Published:	Elsevier Masson SAS 01.01.2019
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!