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Shengkang Yang
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2020 – today
- 2024
- [j8]Qibin Wang
, Ni Liu, Junji Wang, Lei Yin, Shengkang Yang, Naining Huang:
A zero-sample intelligent fault diagnosis method for bearings based on category relationship model. Eng. Appl. Artif. Intell. 130: 107739 (2024) - [j7]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) - 2023
- [j6]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) - [j5]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) - [j4]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
- [j3]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) - [j2]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) - [j1]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)
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