Knowledge Embedded Lightweight Vision Transformer for Machine Condition Monitoring

Author:

Liu YuekaiORCID,Wang Tianyang,Chu FuleiORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference48 articles.

1. New statistical learning perspective for design of a physically interpretable prototypical neural network for machine condition monitoring;Wang;Mech. Syst. Sig. Process.,2023

2. Novel sparse representation degradation modeling for locating informative frequency bands for Machine performance degradation assessment;Yan;Mech. Syst. Sig. Process.,2022

3. An environmentally adaptive and contrastive representation learning method for condition monitoring of industrial assets;Sun;IEEE Trans. Cybern.,2022

4. Fault feature recovery with wasserstein generative adversarial imputation network with gradient penalty for rotating machine health monitoring under signal loss condition;Hu;IEEE Trans. Instrum. Meas.,2022

5. Augmentation of decision tree model through hyper-parameters tuning for monitoring of cutting tool faults based on vibration signatures;Patange;J. Vib. Eng. Technol.,2022

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