Time-Varying Gaussian Encoder-Based Adaptive Sensor-Weighted Method for Turbofan Engine Remaining Useful Life Prediction
Author:
Affiliation:
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
Funder
National Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10172092.pdf?arnumber=10172092
Reference32 articles.
1. Remaining Useful Life Estimation in Prognostics Using Deep Bidirectional LSTM Neural Network
2. Long Short-Term Memory Network for Remaining Useful Life estimation
3. Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach
4. Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
5. A BiGRU Autoencoder Remaining Useful Life Prediction Scheme With Attention Mechanism and Skip Connection
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