A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference40 articles.
1. A review of dynamic modeling and fault identifications methods for rolling element bearing ✩;Shah;Proced. Tech.,2014
2. Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings;He;Knowl.-Based Syst.,2019
3. HVSRMS Localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault;Cui;Mech. Syst. Signal Process.,2019
4. A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load;Wei;Mech. Syst. Signal Process.,2018
5. Planetary gearbox fault feature learning using conditional variational neural networks under noise environment;Wang;Knowl.-Based Syst.,2019
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