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Yu Chen

Zhengzhou University of Aeronautics

P.o. Box 1581 Dodoma

P. o. Box 557, Mbinga- Ruvuma

Dodoma, +255

China

  • Zhengzhou University of Aeronautics

SCHOLARLY PAPERS

3

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80

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0

Scholarly Papers (3)

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1.

Minimal-Learning-Parameter Based Robust Adaptive Neural Network Control for Dynamic Positioning Ship with Input Magnitude and Rate Saturations

Number of pages: 35 Posted: 02 Sep 2023
Kun Liang, Peng Lu, Yu Chen, Qiang Zhang, Wenli Zhang, Yaowei Sun, Ying Duan and Xiaogong Lin
Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics and Harbin Engineering University
Downloads 48 (1,085,743)

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Minimal-Parameter-Learning(MLP), Input Magnitude and Rate Saturations(MRS), Dynamic Positioning of Ships, Robust Adaptive Control

2.

Defect Recognition Algorithm for Magnetic Flux Leakage Signal of Ferromagnetic Materials Based on Improved Residual Network

Number of pages: 26 Posted: 07 May 2025
Xinling Wen, Jiabao Pang, Yu Chen, Zhaokun Chen, Weitao Yuan and Yuxin Qin
Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics and Zhengzhou University of Aeronautics
Downloads 18 (1,470,115)

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Magnetic Flux Leakage (MFL) Signal, Residual Network, Defect Recognition, PSEResNet1D

3.

Improving Weak Magnetic Detection of Ferromagnetic Material Defects Diagnostics Via Transfer Learning-Enhanced Residual Networks

Number of pages: 23 Posted: 30 May 2024
Yu Chen, Liangliang Li, Zhengxiang Ma, Xinling Wen, Jiabao Pang and Weitao Yuan
Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics, Zhengzhou University of Aeronautics and Zhengzhou University of Aeronautics
Downloads 14 (1,509,079)

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weak flux leakage signal, residual network, transfer learning, defect quantitative identification