Integrated method of generalized demodulation and artificial neural network for robust bearing fault recognition
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering
Reference29 articles.
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3. A SENet-TSCNN model developed for fault diagnosis considering squeeze-excitation networks and two-stream feature fusion;Measurement Science and Technology;2023-09-01
4. Synchronous fault feature extraction for rolling bearings in a generalized demodulation framework;Measurement Science and Technology;2023-06-01
5. Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions;Measurement Science and Technology;2022-06-29
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