A wide kernel CNN-LSTM-based transfer learning method with domain adaptability for rolling bearing fault diagnosis with a small dataset

Research article (Advances in Mechanical Engineering, 2022) · cited 17× · AI/ML
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A wide kernel CNN-LSTM-based transfer learning method with domain adaptability for rolling bearing fault diagnosis with a small dataset

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A wide kernel CNN-LSTM-based transfer learning method with domain adaptability for rolling bearing fault diagnosis with a small dataset is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A wide kernel CNN-LSTM-based transfer learning method with domain adaptability for rolling bearing fault diagnosis with a small dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-wide-kernel-cnn-lstm-based-transfer-learning-method-with-domain-adaptability-for-rolling-bearing-fault-diagnosis-with-
MLA “A wide kernel CNN-LSTM-based transfer learning method with domain adaptability for rolling bearing fault diagnosis with a small dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-wide-kernel-cnn-lstm-based-transfer-learning-method-with-domain-adaptability-for-rolling-bearing-fault-diagnosis-with-.
BibTeX @misc{4ortxyz_a-wide-kernel-cnn-lstm-based-transfer-learning-method-with-domain-adaptability-for-rolling-bearing-fault-diagnosis-with-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A wide kernel CNN-LSTM-based transfer learning method with domain adaptability for rolling bearing fault diagnosis with a small dataset}}, year = {2026}, url = {https://4ort.xyz/entity/a-wide-kernel-cnn-lstm-based-transfer-learning-method-with-domain-adaptability-for-rolling-bearing-fault-diagnosis-with-}, note = {Accessed: 2026-05-24}}
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