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Zenghui An
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2020 – today
- 2024
- [j14]Zenghui An
, Xingxing Jiang
Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions. IEEE Trans. Ind. Informatics 20(3): 4990-5003 (2024) - 2023
- [j13]Zenghui An
Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions. IEEE Trans. Ind. Informatics 19(7): 8484-8495 (2023) - 2022
- [j12]Rui Yang
Multilayer Extreme Learning Convolutional Feature Neural Network Model for the Weak Feature Classification and Status Identification of Planetary Bearing. J. Sensors 2022: 7693393:1-7693393:11 (2022) - 2021
- [j11]Zenghui An
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data. Knowl. Based Syst. 230: 107374 (2021) - 2020
- [j10]Zenghui An
Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions. IEEE Access 8: 535-546 (2020) - [j9]Shunming Li
A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions. IEEE Access 8: 113702-113712 (2020) - [j8]Zhongwei Zhang
A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition. Neurocomputing 376: 54-64 (2020) - [j7]Kun Xu
A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples. Neurocomputing 379: 12-29 (2020) - [j6]Zhongwei Zhang
Sparse filtering based domain adaptation for mechanical fault diagnosis. Neurocomputing 393: 101-111 (2020) - [j5]Zongzhen Zhang
Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis. Neurocomputing 398: 31-44 (2020)
2010 – 2019
- 2019
- [j4]Yu Xin
Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery. IEEE Access 7: 65150-65162 (2019) - [j3]Jinrui Wang
Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks. IEEE Access 7: 111168-111180 (2019) - [j2]Jinrui Wang
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines. Neurocomputing 329: 53-65 (2019) - [j1]Zenghui An
Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method. Neurocomputing 352: 42-53 (2019)
Coauthor Index
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