RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier
Author:
Affiliation:
1. LINFI Laboratory, Computer Science Department, University of Biskra, Biskra, Algeria
2. FEMTO-ST Institute, Université Bourgogne Franche-Comté, CNRS, ENSMM, Besançon, France
Funder
General Directorate of Scientific Research and Technological Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/24/10057590/09843862.pdf?arnumber=9843862
Reference92 articles.
1. Recurrent neural networks for remaining useful life estimation
2. Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation;costa;Int Conf Prognostics Health Manage,2019
3. Recurrent neural networks for long-term prediction in machine condition monitoring
4. Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes
5. Fault diagnosis and remaining useful life estimation of aero engine using LSTM neural network
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