研究成果

研究成果

论著

[1]      X. Chen, R. Yang, Y. Xue, B. Song, Z. Wang. TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault Diagnosis, Control Engineering Practice, 2024

[2]      Y. Xue, R. Yang, X. Chen, Z. Tian, Z. Wang. A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 2023

[3]      X. Chen, R. Yang, Y. Xue, M. Huang, R. Ferrero, Z. Wang. Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. IEEE Transactions on Instrumentation and Measurement, 2023

[4]      Z. Liu, R. Yang, W. Liu and X. Liu. IFRN: Insensitive Feature Removal Network for Zero-shot Mechanical Fault Diagnosis across Fault Severity. Neurocomputing, 2023

[5]      X. Chen, R. Yang, C. Yang, B. Song, M. Zhong. A Novel Momentum Prototypical Neural Network to Cross-Domain Fault Diagnosis for Rotating Machinery Subject to Cold-Start. Neurocomputing, 2023

[6]      Y. Li, R. Yang, H. Wang. Unsupervised Method Based on Adversarial Domain Adaption for Bearing Fault Diagnosis. Applied Sciences, 2023