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Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine

  • Published:2020-11 Issue: Volume:96 Page:103936
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Berghout Tarek,Mouss Leïla-Hayet,Kadri Ouahab,Saïdi Lotfi,Benbouzid Mohamed

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference29 articles.

1. Novel direct remaining useful life estimation of aero-engines with randomly assigned hidden nodes;Bai;Neural Comput. Appl.,2019

2. A neural network filtering approach for similarity-based remaining useful life estimation;Bektas;Int. J. Adv. Manuf. Technol.,2019

3. Aircraft engines remaining useful life Prediction with an improved online Sequential Extreme learning Machine;Berghout;Appl. Sci.,2020

4. What are extreme learning machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle;Bin Huang;Cogn. Comput.,2015

5. Denoising deep extreme learning machine for sparse representation;Cheng;Memet. Comput.,2017

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