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ORCIDFangyu Peng
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- affiliation: Huazhong University of Science and Technology, Wuhan, Hubei, China
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2020 – today
- 2024
[j15]Qiuning Zhu
, Hongqi Liu, Chenyu Bao, Jiaming Zhu, Xinyong Mao, Songping He, Fangyu Peng:
Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios. Adv. Eng. Informatics 61: 102445 (2024)- [j14]Teng Zhang, Fangyu Peng, Xiaowei Tang, Rong Yan, Chi Zhang, Runpeng Deng:
An active semi-supervised transfer learning method for robot pose error prediction and compensation. Eng. Appl. Artif. Intell. 128: 107476 (2024) - [j13]Hao Sun, Shengqiang Zhao, Fangyu Peng, Rong Yan, Lin Zhou, Teng Zhang, Chi Zhang:
In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach. J. Intell. Manuf. 35(1): 387-411 (2024) - [j12]Jiawei Wu, Xiaowei Tang, Shihao Xin, Chenyang Wang, Fangyu Peng, Rong Yan:
Research on the directionality of end dynamic compliance dominated by milling robot body structure and milling vibration suppression. Robotics Comput. Integr. Manuf. 85: 102631 (2024) - [j11]Shengqiang Zhao, Fangyu Peng, Hao Sun, Rong Yan, Xiaowei Tang, Hua Zhang:
Robotic milling posture adjustment under composite constraints: A weight-sequence identification and optimization strategy. Robotics Comput. Integr. Manuf. 85: 102635 (2024) - [j10]Teng Zhang, Fangyu Peng, Xiaowei Tang, Rong Yan, Runpeng Deng:
CME-EPC: A coarse-mechanism embedded error prediction and compensation framework for robot multi-condition tasks. Robotics Comput. Integr. Manuf. 86: 102675 (2024) - [j9]Teng Zhang, Fangyu Peng, Rong Yan, Xiaowei Tang, Runpeng Deng, Jiangmiao Yuan:
Quantification of uncertainty in robot pose errors and calibration of reliable compensation values. Robotics Comput. Integr. Manuf. 89: 102765 (2024) - [j8]Teng Zhang, Fangyu Peng, Xiaowei Tang, Rong Yan, Runpeng Deng, Shengqiang Zhao:
A sparse knowledge embedded configuration optimization method for robotic machining system toward improving machining quality. Robotics Comput. Integr. Manuf. 90: 102818 (2024) - 2023
- [j7]Caihua Hao, Xinyong Mao, Tao Ma, Songping He, Bin Li, Hongqi Liu, Fangyu Peng, Lei Zhang:
A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics. Adv. Eng. Informatics 57: 102106 (2023) - [j6]Yu Wang, Chen Chen, Fangyu Peng, Zhouyi Zheng, Zhitao Gao, Rong Yan, Xiaowei Tang:
AL-ProMP: Force-relevant skills learning and generalization method for robotic polishing. Robotics Comput. Integr. Manuf. 82: 102538 (2023) - [c23]Bingbing Li, Teng Zhang, Hao Sun, Runpeng Deng, Fangyu Peng, Rong Yan, Xiaowei Tang:
High-Precision Point Cloud Data Acquisition for Robot Based on Multiple Constraints. ICIRA (6) 2023: 275-287 - [c22]Zhouyi Zheng, Yu Wang, Chen Chen, Zhitao Gao, Fangyu Peng, Rong Yan:
Admittance Control for Robot Polishing Force Tracking Based on Reinforcement Learning. ICIRA (6) 2023: 335-345 - [c21]Haodong Qu, Xiaowei Tang, Tao Ma, Fangyu Peng, Rong Yan, Lei Zhang:
Research on the Milling Process Damping and Stability Considering Additional Vibration. ICIRA (6) 2023: 346-357 - [c20]Yu Wang, Zhouyi Zheng, Chen Chen, Zezheng Wang, Zhitao Gao, Fangyu Peng, Xiaowei Tang, Rong Yan:
Adaptive Tuning of Robotic Polishing Skills based on Force Feedback Model. ROBIO 2023: 1-7 - [i1]Yu Wang, Zhouyi Zheng, Chen Chen, Zezheng Wang, Zhitao Gao, Fangyu Peng, Xiaowei Tang, Rong Yan:
Adaptive Tuning of Robotic Polishing Skills based on Force Feedback Model. CoRR abs/2310.14860 (2023) - 2022
- [j5]Teng Zhang, Hao Sun, Fangyu Peng, Shengqiang Zhao, Rong Yan:
A deep transfer regression method based on seed replacement considering balanced domain adaptation. Eng. Appl. Artif. Intell. 115: 105238 (2022) - [j4]Yu Wang, Mingkai Zhang, Xiaowei Tang, Fangyu Peng, Rong Yan:
A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot. J. Intell. Manuf. 33(5): 1483-1502 (2022) - [j3]Zepeng Li, Fangyu Peng, Rong Yan, Xiaowei Tang, Shihao Xin, Jiawei Wu:
A virtual repulsive potential field algorithm of posture trajectory planning for precision improvement in robotic multi-axis milling. Robotics Comput. Integr. Manuf. 74: 102288 (2022) - [c19]Hao Sun, Shengqiang Zhao, Teng Zhang, Fangyu Peng, Lin Zhou, Rong Yan:
Analysis and inference of stream of dimensional errors in multistage machining process based on an improved semiparametric model. AIM 2022: 996-1003 - [c18]Shengqiang Zhao, Hao Sun, Teng Zhang, Fangyu Peng, Rong Yan, Lin Zhou, Hua Zhang:
A foreknowledge perception method of multi-stages machining accuracy in aviation turbine shafts based on hidden Markov model and Neural networks*. AIM 2022: 1024-1030 - [c17]Shun Gao, Fangyu Peng, Xiaowei Tang, Rong Yan, Jiawei Wu, Shihao Xin:
Active Control of Chatter for Five-Axis Milling Based on Piezoelectric Actuator. ICIRA (4) 2022: 3-14 - [c16]Teng Zhang, Bingbing Li, Hao Sun, Shengqiang Zhao, Fangyu Peng, Lin Zhou, Rong Yan:
A Knowledge-Embedded End-to-End Intelligent Reasoning Method for Processing Quality of Shaft Parts. ICIRA (4) 2022: 425-436 - 2021
- [c15]Shengqiang Zhao, Lin Zhou, Hao Sun, Fangyu Peng, Rong Yan, Teng Zhang:
Tool wear parameters identification in precision milling using a hybrid model combining cutting forces analytical model and Gaussian process regression method. M2VIP 2021: 139-144 - [c14]Teng Zhang, Hao Sun, Lin Zhou, Shengqiang Zhao, Fangyu Peng, Rong Yan:
A transfer learning based geometric position-driven machining error prediction method for different working conditions. M2VIP 2021: 145-150 - [c13]Hao Sun, Lin Zhou, Shengqiang Zhao, Teng Zhang, Fangyu Peng, Rong Yan:
A hybrid mechanism-based and data-driven approach for the calibration of physical properties of Ni-based superalloy GH3128. M2VIP 2021: 151-156 - 2020
- [j2]Chen Chen, Fangyu Peng, Rong Yan, Xiaowei Tang, Yuting Li, Zheng Fan:
Rapid prediction of posture-dependent FRF of the tool tip in robotic milling. Robotics Comput. Integr. Manuf. 64: 101906 (2020)
2010 – 2019
- 2019
- [j1]Bo Luo, Haoting Wang, Hongqi Liu, Bin Li, Fangyu Peng:
Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification. IEEE Trans. Ind. Electron. 66(1): 509-518 (2019) - 2018
- [c12]Mingkai Zhang, Xiaowei Tang, Rong Yan, Fangyu Peng, Chen Chen, Yuting Li, Haohao Zeng:
A Boundary Auto-Location Algorithm for the Prediction of Milling Stability Lobe Diagram. ICIRA (1) 2018: 299-308 - [c11]Xiaowei Tang, Rong Yan, Fangyu Peng, Guangyu Liu, Hua Li, Dequan Wei, Zheng Fan:
Deformation Error Prediction and Compensation for Robot Multi-axis Milling. ICIRA (1) 2018: 309-318 - 2016
- [c10]Zerun Zhu, Rong Yan, Fangyu Peng, Kang Song, Zepeng Li, Chaoyong Guo, Chen Chen:
A High Efficiency Force Predicting Method of Multi-axis Machining Propeller Blades. ICIRA (1) 2016: 685-696 - 2015
- [c9]Xiaowei Tang, Rong Yan, Fangyu Peng, Pengfei Wu:
A Simplified Method to Identify the Equivalent Joint Parameters of Holder-Tool Interface. ICIRA (2) 2015: 587-596 - [c8]Lin Zhou, Fangyu Peng, Rong Yan, Qiong Dong, Cencen Yang:
Prediction and Experimental Validation of Micro End-Milling Forces with Finite Element Method. ICIRA (2) 2015: 664-675 - 2014
- [c7]Xianyin Duan, Fangyu Peng, Rong Yan, Zerun Zhu, Bin Li:
Experimental Study on Cutter Deflection in Multi-axis NC Machining. ICIRA (1) 2014: 99-109 - 2013
- [c6]Sen Lin, Fangyu Peng, Yizhi Liu, Sheng Yang, Rong Yan:
Finite Element Research on Cutting Force and Temperature in Milling 300M Steel. ICIRA (2) 2013: 481-490 - [c5]Hui Cai, Bin Li, Xinyong Mao, Bo Luo, Fangyu Peng:
A Complete Methodology for Estimating Dynamics of the Heavy Machine Tool Structure. ICIRA (2) 2013: 513-524 - 2010
- [c4]Yan Rong, Fangyu Peng, Chen Wei, Yang Jianzhong, Linsen:
Closed-Loop Stiffness Modeling and Stiffness Performance Analysis for Multi-axis Process System. ICIRA (2) 2010: 754-765
2000 – 2009
- 2008
- [c3]Fangyu Peng, Xubin Chen, Yong Zhou, Li Li, Bin Li:
Look-Ahead Scheme for High Speed Consecutive Micro Line Interpolation Based on Dynamics of Machine Tool. ICIRA (2) 2008: 743-753 - [c2]Yong Zhou, Fangyu Peng, Bin Li:
Adaptive Notch Filter Control for the Torsion Vibration in Lead-Screw Feed Drive System Based on Neural Network. ICIRA (2) 2008: 803-812 - [c1]Rong Yan, Fangyu Peng, Bin Li:
A Method of General Stiffness Modeling for Multi-axis Machine Tool. ICIRA (2) 2008: 1013-1021
Coauthor Index
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