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ORCIDShengqiang Zhao
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2020 – today
- 2024
[j4]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)- [j3]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) - [j2]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) - 2022
- [j1]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) - [c6]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 - [c5]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 - [c4]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
- [c3]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 - [c2]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 - [c1]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
Coauthor Index
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