An unsupervised feature learning based health indicator construction method for performance assessment of machines-Reference-Cited by-同舟云学术

An unsupervised feature learning based health indicator construction method for performance assessment of machines

Published:2022-03 Issue: Volume:167 Page:108573
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Guo Liang,Yu Yaoxiang,Duan Andongzhe,Gao Hongli,Zhang Jiangquan

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference31 articles.

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4. Generic framework for integration of first prediction time detection with machine degradation modelling from frequency domain;Yan;IEEE Trans. Reliab.,2021

5. Two novel mixed effects models for prognostics of rolling element bearings;Wang;Mech. Syst. Sig. Process.,2018

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