Mingkuan Shi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Convolutional Neural Network

Labeled Samples

Fault Diagnosis

Graph Embedding

Top Venues

Knowl. Based Syst.

Adv. Eng. Informatics

IEEE Trans. Ind. Informatics

Publications

Shuyuan Chang, Liyong Wang, Mingkuan Shi, Jinle Zhang, Li Yang, Lingli Cui
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery. Adv. Eng. Informatics 60 (2024)
Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples. Knowl. Based Syst. 286 (2024)
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions. IEEE Trans. Ind. Informatics 20 (4) (2024)
Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery. Reliab. Eng. Syst. Saf. 240 (2023)
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Rui Wang, Weiguo Huang, Zhongkui Zhu
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery. Adv. Eng. Informatics 58 (2023)
Mingkuan Shi, Chuancang Ding, Rui Wang, Qiuyu Song, Changqing Shen, Weiguo Huang, Zhongkui Zhu
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis. Knowl. Based Syst. 260 (2023)
Rui Wang, Weiguo Huang, Mingkuan Shi, Jun Wang, Changqing Shen, Zhongkui Zhu
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy. Knowl. Based Syst. 256 (2022)
Yaochun Wu, Rongzhen Zhao, Wuyin Jin, Tianjing He, Sencai Ma, Mingkuan Shi
Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network. Appl. Intell. 51 (4) (2021)