Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference42 articles.
1. A Method for Fault Detection in Multi-Component Systems Based on Sparse Autoencoder-Based Deep Neural Networks;Yang;Reliab Eng Syst Saf,2021
2. A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels;Zhang;Mech Syst Sig Process,2021
3. Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction;Xiang;Eng Appl Artif Intell,2020
4. Life prediction for turbopropulsion systems under dwell fatigue conditions;Chan;J Eng Gas Turbines Power,2012
5. Remaining useful life prediction based on a general expression of stochastic process models;Li;IEEE Trans Ind Electron,2017
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