一、科研项目： 1.天津市自然科学基金青年项目, 202-01至2025-09, 6万元,主持 2.企业合作, 2024-06至2025-05, 5万元,主持 3.企业合作, 2025-09至2025-11, 43.1万元,主持 4.企业合作, 2026-01至2027-01, 28.3万元,主持 5.国家自然科学基金面上项目, 2026-01至2029-12, 50万,参与 6.国家自然科学基金面上项目, 2026-01至2029-12, 50万,参与 二、代表性论著： 1.Shan Wang,et al. Cluster discharge resonance neuron model and its application in machinery multi-dimensional fault vibration signals. Review of Scientific instruments. 2025 2.Shan Wang, et al. Image perception of workpiece surface defects based on autapse coupled neuronal network. Nondestructive Testing Evaluation.2025 3.Shan Wang,et al.Research onintelligentdetectionsystem forsurfacedefects ofworkpiecematerialsbased ondeeplearningoptimizationmodel. Engineering Research Express.2025 4.Shan Wang, et al. Research on steel surface defect detection system based on YOLOv5s-SE-CA model and BEMD image enhancement.Nondestructive Testing Evaluation. 2024 5.Shan Wang, et al.Coupled Hybrid Stochastic Resonance with Multi-objective Optimization for Machinery Dynamic Signature and Fault Diagnosis. IEEESensors Journal.2023 6.Shan Wang, et al. Piecewise hybrid system with cross-correlation spectral kurtosis for fault diagnosis in rolling bearing of wind power generator. Electronics. 2023 7.Shan Wang, et al. Image Denoising Using Adaptive Bi-dimensional Stochastic Resonance System.Ferroelectrics. 2023 8.Shan Wang, et al. Maximum cross-correlated kurtosis based unsaturated stochastic resonance and its application to bearing fault diagnosis.ChineseJournalofPhysics.2021 9.Shan Wang, et al. Early diagnosis of bearing faults based on decomposition and reconstruction stochastic resonance system. Measurement.2020 10.Shan Wang,et al. An adaptive empirical mode decomposition and stochastic resonance system in high efficient detection of Terahertz radar signal. Ferroelectrics.2020 三、软件著作权： 1.基于深度学习模型优化的车身漆面缺陷检测系统V1.0,2025SR1071122, 2025-6-23. 2.风电轴承故障诊断系统, 2025SR0459212, 2025-3-14 3.车身漆面检测轻量化系统1.0, 2025SR0107084, 2025-1-16 4.车身漆面缺陷智能检测系统, 2024SR0842257, 2024-6-20 四、荣誉奖励： 无 |