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

researchr

You are not signed in
Sign in
Sign up

Hairui Fang, Jin Deng, Yaoxu Bai, Bo Feng, Sheng Li, Siyu Shao, Dongsheng Chen. CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions. IEEE T. Instrumentation and Measurement, 71:1-8, 2022. [doi]

Abstract is missing.

runs on WebDSL