Shengkang Yang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Transfer Learning

Manifold Alignment

Fault Diagnosis

Top Venues

Eng. Appl. Artif. Intell.

J. Intell. Manuf.

Reliab. Eng. Syst. Saf.

Adv. Eng. Informatics

Publications

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 (2024)
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) (2024)
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 (2023)
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 (2023)
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) (2023)
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 (2022)
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 (2022)
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 (2022)