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Dongying Han
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Journal Articles
- 2024
- [j14]Dongying Han, Yu Zhang, Yue Yu, Jinghui Tian, Peiming Shi:
Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets. Appl. Soft Comput. 154: 111371 (2024) - [j13]Yu Zhang, Dongying Han, Peiming Shi:
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis. Expert Syst. Appl. 255: 124660 (2024) - [j12]Junjie He, Peiming Shi, Xuefang Xu, Dongying Han:
Rolling mill fault diagnosis under limited datasets. Knowl. Based Syst. 291: 111579 (2024) - [j11]Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi:
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data. Neural Networks 173: 106167 (2024) - 2023
- [j10]Peiming Shi, Jinxia Li, Wenyue Zhang, Mengdi Li, Dongying Han:
Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance. Biomed. Signal Process. Control. 84: 104817 (2023) - [j9]Yu Zhang, Dongying Han, Jinghui Tian, Peiming Shi:
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis. Knowl. Based Syst. 268: 110484 (2023) - [j8]Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi:
Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis. Neural Networks 162: 69-82 (2023) - 2022
- [j7]Jinghui Tian, Dongying Han, Mengdi Li, Peiming Shi:
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis. Knowl. Based Syst. 243: 108466 (2022) - 2021
- [j6]Peiming Shi, Peng Xue, Aoyun Liu, Dongying Han:
A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions. IEEE Access 9: 44569-44579 (2021) - [j5]Jinghui Tian, Dongying Han, Lifeng Xiao, Peiming Shi:
Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis. J. Intell. Fuzzy Syst. 41(1): 2225-2238 (2021) - 2020
- [j4]Dongying Han, Xiaoci Guo, Peiming Shi:
An Intelligent Fault Diagnosis Method of Variable Condition Gearbox Based on Improved DBN Combined With WPEE and MPE. IEEE Access 8: 131299-131309 (2020) - [j3]Rongrong Fu, Han Wang, Mengmeng Han, Dongying Han, Jiedi Sun:
Scaling Analysis of Phase Fluctuations of Brain Networks in Dynamic Constrained Object Manipulation. Int. J. Neural Syst. 30(2): 2050002:1-2050002:16 (2020) - 2019
- [j2]Wenyue Zhang, Peiming Shi, Mengdi Li, Yongxu Jiao, Dongying Han:
Signal Detection Based on Second-Order Underdamped Tristable Stochastic Resonance and Its Application to Weak Fault Diagnosis. IEEE Access 7: 173753-173765 (2019) - 2014
- [j1]Dongying Han, Peiming Shi, Kewei Xia:
Nonlinear Torsional Vibration Dynamics Behaviors of Rolling Mill's Multi-DOF Main Drive System under Parametric Excitation. J. Appl. Math. 2014: 202686:1-202686:7 (2014)
Coauthor Index
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