男，山东济南人，毕业于北京科技大学计算机科学与技术专业，获工学博士。主要研究方向为故障诊断，时间序列预测。
科研方面，先后在《IEEE Transactions on Instrumentation and Measurement》《Knowledge‑Based Systems》等国内外期刊、会议发表学术论文10篇，其中SCI检索论文6篇，EI会议论文4篇；参与国家自然科学基金项目“面向复杂噪声环境的装备时序信号故障诊断理论与方法研究”、山东省重点研发计划项目“高端装备关键零部件智能故障预警系统研发”、济南市高校创新团队项目“工业智能故障诊断创新团队”及多项设备健康监测领域企业横向合作项目。
代表性成果：
[1] A Novel Fault Diagnosis Method for Rotating Machinery Based on Adaptive Weighted Multiscale Permutation Entropy[J]. IEEE Transactions on Instrumentation and Measurement. (SCI)
[2] A Multi‑scale Feature Fusion Network for Time‑series Prediction under Complex Noisy Conditions[J]. Knowledge‑Based Systems. (SCI)
[3] Fault Feature Extraction of Rolling Bearing Based on Improved Variational Mode Decomposition[C]. Chinese Control Conference,2023. (EI)
[4] Research on Remaining Useful Life Prediction of Equipment Based on Temporal Convolutional Network[C]. Prognostics and System Health Management Conference,2023. (EI)
[5] A Denoising‑Enhanced Time Series Forecasting Model for Industrial Monitoring Data[J]. Measurement Science and Technology. (SCI)
[6] Multi‑source Data Fusion‑based Fault Identification Method for Mechanical Transmission System[J]. Journal of Mechanical Science and Technology. (SCI)
[7] Short‑term Trend Prediction of Industrial Sensor Signals Based on Hybrid Deep Learning[C]. Chinese Automation Congress,2024. (EI)
[8] Intelligent Fault Classification for Rotating Equipment Under Variable Working Conditions[J]. Journal of Electronic Testing‑Theory and Applications. (SCI)
[9] Abnormal Condition Detection of Industrial Equipment Based on Graph Neural Network[C]. International Conference on Advanced Algorithms and Neural Networks,2024. (EI)
[10] Weak Fault Feature Enhancement Method Based on Sparse Representation[J]. The International Journal of Advanced Manufacturing Technology. (SCI)
