[1] 国家自然科学基金青年项目, 52505569, 可解释性特征解耦驱动的风机齿轮箱变工况故障鲁棒诊, 2026-01至2028-12 主持

[1]H. Chen, X.-b. Wang and Z. -X. Yang, "Fast Robust Capsule Network With DynamicPruning and Multiscale Mutual Information Maximization for Compound-FaultDiagnosis," IEEE/ASME Transactions on Mechatronics, vol. 28, no. 2,pp. 838-847, April 2023, doi: 10.1109/TMECH.2022.3214865. (JCRQ1, 中科院一区 Top, 影响因子:5.867)

[2] Yang, Z.X., Li, C. S., Wang, X. B., & Chen, H.* (2022). “Intelligentfault monitoring and diagnosis of tunnel fans using a hierarchical cascadeforest,” ISA transactions, 136(2023):442-454. (JCR Q1, 中科院二区 Top,影响因子: 7.3)

[3] Chen, H., Li, C., Yang, W.,Liu, J., An, X., & Zhao, Y. "Deep balanced cascade forest: An novelfault diagnosis method for data imbalance." ISA transactions, 126(2022): 428-439. (JCR Q1, 中科院二区 Top,影响因子: 7.3)

[4] H. Chen, X. -B. Wang and Z. -X. Yang,"Semi-Supervised Self-Correcting Graph Neural Network for IntelligentFault Diagnosis of Rotating Machinery," in IEEE Transactions onInstrumentation and Measurement, doi: 10.1109/TIM.2023.3314821. (JCR Q1, 中科院二区, 影响因子: 5.6)

[5] H.Chen, X. -B. Wang and Z. -X. Yang, "A Novel Rotating Machinery FaultDiagnosis System Using Ensemble Learning Capsule Autoencoder," in IEEESensors Journal, vol. 24, no. 1, pp. 1018-1027, 1 Jan.1, 2024. (JCR Q1, 中科院二区Top, 影响因子: 4.3)

[6] H.Chen, X.-B. Wang, Z.-X. Yang and J. Li, “Privacy-Preserving Intelligent FaultDiagnostics for Industrial Multi-entities Using Federated Stacked CapsuleAutoencoder,” Expert Systems With Applications, [Early Access]. (JCR Q1, 中科院一区Top, 影响因子: 8.5)

[7] H.Chen, X.-B. Wang, J. Li and Z.-X. Yang, “Dynamic Focusing Network forSemi-supervised Mechanical Fault Diagnosis of Rotating Machinery,” Transactionson Industrial Informatics, [Early Access]. (JCRQ1, 中科院一区Top,影响因子:12.3)

[8]Chen H , Li J M , Wang X B ,et al.Review of intelligent fault diagnosis for rotating machinery under imperfect data conditions[J].Expert Systems With Applications, 2025, 285.DOI:10.1016/j.eswa.2025.127726.(JCR Q1, 中科院一区Top, 影响因子: 8.5)

[9] H. Chen, X. -B. Wang and Z. -X. Yang, "Adaptive Semi-supervise Graph Neural Network for Fault Diagnosis of Tunnel Ventilation Systems," 2021 5th International Conference on System Reliability and Safety (ICSRS), 2021, pp. 53-57.

[10] Chen, H., X. -B. Wang and Z. -X. Yang, "Knowledge Graph for Fault diagnosis of Mechanical System," 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS), Chengdu, China, 2022, pp. 795-799.

[11] 发明专利：一种基于DdAE深度学习模型的水电机组故障诊断方法与系统（2021.04.06 已授权）

[12] 发明专利：基于融合特征的知识图谱的水电机组故障诊断方法和系统（2021.02.12已授权）