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CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions

Research article (IEEE Transactions on Instrumentation and Measurement, 2021) · cited 174× · AI/ML
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CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions

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CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions is a scholarly article[1].

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  • CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/clformer-a-lightweight-transformer-based-on-convolutional-embedding-and-linear-self-attention-with-strong-robustness-for
MLA “CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clformer-a-lightweight-transformer-based-on-convolutional-embedding-and-linear-self-attention-with-strong-robustness-for.
BibTeX @misc{4ortxyz_clformer-a-lightweight-transformer-based-on-convolutional-embedding-and-linear-self-attention-with-strong-robustness-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions}}, year = {2026}, url = {https://4ort.xyz/entity/clformer-a-lightweight-transformer-based-on-convolutional-embedding-and-linear-self-attention-with-strong-robustness-for}, note = {Accessed: 2026-05-24}}
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