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2020 – today
- 2024
[j19]Pei Wang, Fanhui Bu, Xianguang Kong, Jiantao Chang, Yixin Cui, Anji Zhang:
Quality-efficiency coupling prediction and monitoring-based process optimization of thin plate parts with multi-machining feature. Int. J. Comput. Integr. Manuf. 37(8): 921-951 (2024)- [j18]Xuehua Sun
, Zengsen Yuan, Xianguang Kong, Liang Xue, Lang He, Ying Lin:
Communication-Efficient and Privacy-Preserving Aggregation in Federated Learning With Adaptability. IEEE Internet Things J. 11(15): 26430-26443 (2024) - [j17]Qibin Wang, Yuanbing Xu, Shengkang Yang, Jiantao Chang, Jingang Zhang, Xianguang Kong:
A domain adaptation method for bearing fault diagnosis using multiple incomplete source data. J. Intell. Manuf. 35(2): 777-791 (2024) - [j16]Guowei Zhang, Xianguang Kong, Qibin Wang, Jingli Du, Kun Xu, Jinrui Wang, Hongbo Ma:
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis. Knowl. Based Syst. 284: 111255 (2024) - [j15]Guowei Zhang, Xianguang Kong, Qibin Wang, Jingli Du, Jinrui Wang, Hongbo Ma:
Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis. Reliab. Eng. Syst. Saf. 250: 110252 (2024) - [j14]Hongbo Ma, Jiacheng Wei, Guowei Zhang, Xianguang Kong, Jingli Du:
Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions. Reliab. Eng. Syst. Saf. 252: 110439 (2024) - 2023
- [j13]Guowei Zhang, Xianguang Kong, Jingli Du, Jinrui Wang, Shengkang Yang, Hongbo Ma:
Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery. Eng. Appl. Artif. Intell. 120: 105847 (2023) - [j12]Kun Xu, Xianguang Kong, Qibin Wang, Bing Han, Liqiang Sun:
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach. Eng. Appl. Artif. Intell. 126: 107063 (2023) - [j11]Han Cheng, Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang, Gaige Chen:
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions. J. Intell. Manuf. 34(2): 587-613 (2023) - [j10]Han Cheng, Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang, Kun Xu:
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data. Reliab. Eng. Syst. Saf. 236: 109292 (2023) - 2022
- [j9]Kun Xu, Xianguang Kong, Qibin Wang, Shengkang Yang, Naining Huang, Junji Wang:
A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning. Adv. Eng. Informatics 54: 101795 (2022) - [j8]Shengkang Yang, Xianguang Kong, Qibin Wang, Zhongquan Li, Han Cheng, Kun Xu:
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions. Knowl. Based Syst. 249: 108639 (2022) - [j7]Han Cheng, Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang:
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data. Reliab. Eng. Syst. Saf. 225: 108581 (2022) - [c2]Mengyu Fan, Jin Lu, Xianguang Kong, Wei Sun, Wei Sun, Yijun Sun:
CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination. AIPR 2022: 803-809 - 2020
- [j6]Xianguang Kong, Yang Fu, Qibin Wang, Hongbo Ma, Xiaodong Wu, Gang Mao:
A High Generalizable Feature Extraction Method Using Ensemble Learning and Deep Auto-Encoders for Operational Reliability Assessment of Bearings. Neural Process. Lett. 51(1): 383-406 (2020)
2010 – 2019
- 2019
- [j5]Pei Wang, Xianguang Kong, Zekun Guo, Lei Hu:
Prediction of Axis Attitude Deviation and Deviation Correction Method Based on Data Driven During Shield Tunneling. IEEE Access 7: 163487-163501 (2019) - [j4]Li Zhang, Hong Li, Xianguang Kong:
Evolving feedforward artificial neural networks using a two-stage approach. Neurocomputing 360: 25-36 (2019) - [j3]Shing I. Chang, Zheng Zhang, Siim Koppel, Behnam Malmir, Xianguang Kong, Tzong-Ru Tsai, Donghai Wang:
Retrospective analysis for phase I statistical process control and process capability study using revised sample entropy. Neural Comput. Appl. 31(11): 7415-7428 (2019) - 2015
- [j2]Xianguang Kong, Shing I. Chang, Lei Yin, Fulei Zhong:
Rapid integrated parametric CAE modeling method of Linear Variable Differential Transformer based on a script template. Adv. Eng. Softw. 86: 13-19 (2015) - 2013
- [j1]Jiantao Chang, Yuanying Qiu, Xianguang Kong:
A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN. J. Appl. Math. 2013: 572635:1-572635:10 (2013) - 2011
- [c1]Xianguang Kong, Yuanying Qiu:
Three-dimensional digital process typesetting and printing system based on DELMIA. EMEIT 2011: 2888-2891
Coauthor Index
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