Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation

Hanrong Zhang; Yifei Yao; Zixuan WANG; Jiayuan Su; Menghan Li; Peng Peng; Hongwei Wang

doi:10.1109/tii.2025.3534407

journal article Jun 01, 2025

Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation

Hanrong Zhang

Yifei Yao Zixuan WANG

Jiayuan Su Menghan Li

Peng Peng

Hongwei Wang

IEEE Transactions on Industrial Informatics Vol. 21 No. 6 pp. 4344-4354 · Institute of Electrical and Electronics Engineers (IEEE)

View at Publisher Save 10.1109/tii.2025.3534407

Topics

No keywords indexed for this article. Browse by subject →

References

37

[1]

10.1109/tii.2023.3268750

[2]

10.1109/tii.2022.3177662

[3]

10.1016/j.knosys.2022.110008

[4]

10.1109/icmla.2009.18

[5]

10.1016/j.ymssp.2016.10.034

[6]

Generative adversarial networks

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza et al.

Communications of the ACM 10.1145/3422622

[7]

10.1016/j.measurement.2021.109345

[8]

10.1016/j.measurement.2019.107393

[9]

10.1007/978-3-030-58526-6_41

[10]

10.1016/s0079-7421(08)60536-8

[11]

10.1109/tii.2023.3345449

[12]

10.1007/s40815-022-01292-1

[13]

10.3390/machines10050338

[14]

10.1109/tie.2019.2931255

[15]

10.1109/tii.2021.3112988

[16]

10.1109/tcyb.2022.3158697

[17]

10.1109/tii.2020.3005965

[18]

10.1109/tii.2021.3054651

[19]

10.1109/tii.2022.3141783

[20]

10.1109/tii.2024.3353921

[21]

10.1109/tii.2024.3397401

[22]

Khosla "Supervised contrastive learning" (2020)

[23]

Chen "Using Random Forest to Learn Imbalanced Data" (2004)

[24]

10.1109/cvpr.2017.587

[25]

10.1145/1553374.1553517

[26]

10.1007/978-3-030-01258-8_15

[27]

10.1109/tnnls.2023.3313728

[28]

Classification And Regression Trees

Leo Breiman, Jerome H. Friedman, Richard A. Olshen et al.

10.1201/9781315139470

[29]

10.1109/cvpr.2019.00046

[30]

10.1109/tim.2022.3151946

[31]

Knowledge Distillation: A Survey

Jianping Gou, Baosheng Yu, Stephen J. Maybank et al.

International Journal of Computer Vision 10.1007/s11263-021-01453-z

[32]

10.1016/0959-1524(96)00031-5

[33]

10.1016/j.conengprac.2015.04.012

[34]

Learning without Forgetting

Zhizhong Li, Derek Hoiem

IEEE Transactions on Pattern Analysis and Machine... 10.1109/tpami.2017.2773081

[35]

10.1109/cvpr52729.2023.02316

[36]

Kim "Warping the space: Weight space rotation for class-incremental few-shot learning" (2023)

[37]

10.1109/cvpr52729.2023.01139

Metrics

12

Citations

37

References

Details

Published: Jun 01, 2025
Vol/Issue: 21(6)
Pages: 4344-4354
License: View

Authors

H

Hanrong Zhang

ZJU-UIUC Joint Institute, Zhejiang University, Haining, China

Y

Yifei Yao

ZJU-UoE Institute, Zhejiang University, Haining, China

Z

Zixuan WANG

College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China

J

Jiayuan Su

ZJU-UIUC Joint Institute, Zhejiang University, Haining, China

M

Menghan Li

College of Computer Science and Technology, Zhejiang University, Hangzhou, China

P

Peng Peng

ZJU-UIUC Joint Institute, Zhejiang University, Haining, China

H

Hongwei Wang

ZJU-UIUC Joint Institute, Zhejiang University, Haining, China

Funding

National Natural Science Foundation of China Award: 62276230

Zhejiang Provincial Natural Science Foundation of China Award: LDT23F02023F02

Cite This Article

Hanrong Zhang, Yifei Yao, Zixuan WANG, et al. (2025). Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation. IEEE Transactions on Industrial Informatics, 21(6), 4344-4354. https://doi.org/10.1109/tii.2025.3534407

Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation

You May Also Like