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Xinyong Mao
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2020 – today
- 2024
- [j4]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) - 2023
- [j3]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) - 2021
- [j2]Xuwu Yuan, Caihua Hao, Jiarong Gu, Xinyong Mao, Hongqi Liu, Jie Zhang, Xuchu Jiang, Hongguang Zhu:
Research on the commonness and dissimilarity of group machine tools based on BP and SAE algorithms. Comput. Ind. Eng. 158: 107451 (2021) - 2020
- [c3]Chaochao Qiu, Xinyong Mao, Weiye Li:
A Novel Approach Based on Knowledge Graph and XGBoost to Characterize and Predict Position- and Speed-Dependent Dynamics of Machine Tool Structure. ICITEE 2020: 60-66
2010 – 2019
- 2019
- [j1]Hongqi Liu, Hai Lin, Xuchu Jiang, Xinyong Mao, Quanxin Liu, Bin Li:
Estimation of mass matrix in machine tool's weak components research by using symbolic regression. Comput. Ind. Eng. 127: 998-1011 (2019) - [c2]Hai Lin, Yingjie Chen, Xuchu Jiang, Xinyong Mao:
A De-Theoretical Experimental Modal Analysis Method Using Data Mining-Symbol Regression. FSDM 2019: 3-13 - 2013
- [c1]Hui Cai
A Complete Methodology for Estimating Dynamics of the Heavy Machine Tool Structure. ICIRA (2) 2013: 513-524
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