Predictive Maintenance of Industrial Equipment using Deep Learning: from sensory data to remaining useful life estimation
Author:
Affiliation:
1. Università Politecnica delle Marche,Department of Information Engineering,Ancona,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967582.pdf?arnumber=9967582
Reference24 articles.
1. Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme
2. Prediction of Remaining Useful Lifetime (RUL) of turbofan engine using machine learning
3. Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks
4. A multimodal and hybrid deep neural network model for Remaining Useful Life estimation
5. Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
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