11 Papers
8 Citations
Zhenhao Yan is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 1, co-authored 3 publications.
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Papers
An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy
TL;DR: This paper explores an enhanced sparse filtering (SF) algorithm based on maximum classifier discrepancy to diagnose the fault conditions caused by speed fluctuation and considers the superiority of the task-specific decision boundary and adversarial training for the fault diagnosis network.
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Feature distance-based deep prototype network for few-shot fault diagnosis under open-set domain adaptation scenario
TL;DR: Wang et al. as discussed by the authors proposed a feature distance-based deep prototype network (FDDPN) for few-shot fault diagnosis under open-set domain adaptation scenario, which contains three stages for training.
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A New Universal Domain Adaptive Method for Diagnosing Unknown Bearing Faults.
Zhenhao Yan,Guifang Liu,Jinrui Wang,Huaiqian Bao,Zongzhen Zhang,Zongzhen Zhang,Xiao Zhang,Baokun Han +7 more
TL;DR: In this paper, a universal domain method is proposed, which not only effectively reduces the problem of network failure caused by unknown fault types in the target domain but also breaks the premise of sharing the label space.
Data Privacy Protection: A Novel Federated Transfer Learning Scheme for Bearing Fault Diagnosis
Lilan Liu,Zhenhao Yan,Tingting Zhang,Zenggui Gao,Hongxia Cai,Jinrui Wang +5 more
TL;DR: A novel federated transfer learning scheme is proposed for bearing fault diagnosis, addressing data island problems and protecting data privacy through distributed local model training, global model update, and differential training for enhanced domain adaptability and parameter importance ranking.
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