A Deep Fuzzy Clustering Network for Gearbox Health Assessment
Author:
Affiliation:
1. Nanjing University of Aeronautics and Astronautics,College of Automation Engineering,Nanjing,China,211106
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941505/9941739/09941922.pdf?arnumber=9941922
Reference15 articles.
1. Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering
2. Normalized Conditional Variational Auto-Encoder with adaptive Focal loss for imbalanced fault diagnosis of Bearing-Rotor system
3. Bearing performance degradation assessment based on lifting wavelet packet decomposition and fuzzy c-means
4. Degradation Feature Selection for Remaining Useful Life Prediction of Rolling Element Bearings
5. A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction
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