Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models-Reference-Cited by-同舟云学术

Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models

Published:2023-01 Issue: Volume:229 Page:108869
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Li Yuanfu,Chen Yao,Hu Zhenchao,Zhang Huisheng

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. PHM-oriented integrated fusion prognostics for aircraft engines based on sensor data;Xu;IEEE Sens J,2013

2. Prognostics and health management for maintenance practitioners—review, implementation and tools evaluation;Atamuradov;Int J Progn Health Manag,2017

3. Khan S, Yairi T. A review on the application of deep learning in system health management. Mech Syst Signal Pr 2018; 107: 241-265. https://doi.org/10.1016/j.ymssp.2017.11.024.

4. Deep convolutional neural network based regression approach for estimation of remaining useful life;SATEESH,2016

5. Remaining useful life prediction of broken rotor bar based on data-driven and degradation model;Bejaoui;Appl Sci,2021

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Remaining Useful Life prediction based on physics-informed data augmentation;Reliability Engineering & System Safety;2024-12

2. Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure;Reliability Engineering & System Safety;2024-11

3. Application of physical-structure-driven deep learning and compensation methods in aircraft engine health management;Engineering Applications of Artificial Intelligence;2024-10

4. A temporal partial domain adaptation network for transferable prognostics across working conditions with insufficient data;Reliability Engineering & System Safety;2024-10

5. Research on the prediction algorithm of aero engine lubricating oil consumption based on multi-feature information fusion;Applied Intelligence;2024-09-02