Attention-based sequence to sequence model for machine remaining useful life prediction-Reference-Cited by-同舟云学术

Attention-based sequence to sequence model for machine remaining useful life prediction

Published:2021-11 Issue: Volume:466 Page:58-68
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ragab Mohamed,Chen Zhenghua,Wu Min,Kwoh Chee-Keong,Yan Ruqiang,Li Xiaoli

Funder

Agency for Science Technology and Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism;Liu;Neurocomputing,2020

2. A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty;Aizpurua;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018

3. Bidirectional handshaking lstm for remaining useful life prediction;Elsheikh;Neurocomputing,2019

4. Accurate bearing remaining useful life prediction based on weibull distribution and artificial neural network;Ali;Mechanical Systems and Signal Processing,2015

5. A method for remaining useful life prediction of crystal oscillators using the bayesian approach and extreme learning machine under uncertainty;Liu;Neurocomputing,2018

Cited by 40 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 of mechanical equipment based on time-series auto-correlation decomposition and CNN;Measurement Science and Technology;2024-07-12

2. A dual attention LSTM lightweight model based on exponential smoothing for remaining useful life prediction;Reliability Engineering & System Safety;2024-03

3. Enhancing non-stationary feature learning for remaining useful life prediction of aero-engine under multiple operating conditions;Measurement;2024-03

4. A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges;Measurement Science and Technology;2024-03-01

5. A dual path hybrid neural network framework for remaining useful life prediction of aero‐engine;Quality and Reliability Engineering International;2024-01-29