Shengkang Yang

According to our database, Shengkang Yang authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A domain adaptation method for bearing fault diagnosis using multiple incomplete source data.

Qibin Wang, Yuanbing Xu, Shengkang Yang, Jiantao Chang, Jingang Zhang, Xianguang Kong

J. Intell. Manuf., February, 2024

2023

Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data.

Han Cheng, Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang, Kun Xu

Reliab. Eng. Syst. Saf., August, 2023

Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery.

Guowei Zhang, Xianguang Kong, Jingli Du, Jinrui Wang, Shengkang Yang, Hongbo Ma

Eng. Appl. Artif. Intell., April, 2023

Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions.

Han Cheng, Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang, Gaige Chen

J. Intell. Manuf., February, 2023

2022

The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data.

Han Cheng, Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang

Reliab. Eng. Syst. Saf., 2022

Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions.

Shengkang Yang, Xianguang Kong, Qibin Wang, Zhongquan Li, Han Cheng, Kun Xu

Knowl. Based Syst., 2022

A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning.

Kun Xu, Xianguang Kong, Qibin Wang, Shengkang Yang, Naining Huang, Junji Wang

Adv. Eng. Informatics, 2022