Shengkang Yang

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

Kun Xu, Xianguang Kong, Qibin Wang et al. · Advanced Engineering Informatics · 2022 · 96 citations

Fault Diagnosis, Engineering, Machine Learning +10

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 et al. · Knowledge-Based Systems · 2022 · 78 citations

Artificial Intelligence, Fault Diagnosis, Engineering +9

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

Han Cheng, Xianguang Kong, Qibin Wang et al. · Journal of Intelligent Manufacturing · 2021 · 76 citations

Artificial Intelligence, Dynamic Domain Adaptation, Engineering +12

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

Han Cheng, Xianguang Kong, Qibin Wang et al. · Reliability Engineering & System Safety · 2022 · 76 citations

Insufficient Degradation Data, Reliability Engineering, Engineering +12

A multi-source ensemble domain adaptation method for rotary machine fault diagnosis

Shengkang Yang, Xianguang Kong, Qibin Wang et al. · Measurement · 2021 · 75 citations

Fault Diagnosis, Reliability Engineering, Engineering +8