吴振宁 - 东北大学 - 信息科学与工程学院

个人简介

教育经历 2003.9-2007.7大连理工大学学士学位 2007.9-2009.7东北大学控制理论与控制工程专业硕士学位 2009.9-2015.11 东北大学控制理论与控制工程专业博士学位工作经历 2015.12-2018.12东北大学计算机科学博士后 2018.12-2023.12东北大学信息科学与工程学院讲师 2019.3-2021.3 密歇根州立大学电气与计算工程系博士后 2024.01-至今东北大学信息科学与工程学院副教授

研究领域

机器学习，电磁无损检测理论与技术，智能机器人，电力系统故障诊断

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Zhenning Wu, et. al. A Reinforcement Learning-Based Reconstruction Method for Complex Defect Profiles in MFL Inspection[J]. IEEE Transactions on Instrumentation and Measurement, 2021, PP(99):1-1. [2] Zhenning Wu, et. al. MAR and UAR: Solutions for Depth Profile Reconstruction of MFL Inspection With High Degree of Freedoms[J]. IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2023.3326496. [3] Zhenning Wu, et. al. An ultrasonic in-line inspection data processing method considering invalid data caused by sensor failure[J]. Measurement Science and Technology, Volume 35, Number 1. [4] Zhenning Wu, et. al. A fast algorithm for 3D reconstruction of complex defect profiles for magnetic flux leakage inspection[J]. Insight: Non-Destructive Testing and Condition Monitoring, 2018, 60(6):317-325. [5] Zhenning Wu, et. al. TMR-Array-Based Pipeline Location Method and Its Realization[J]. Sustainability 2023, 15(12), 9816, https://doi.org/10.3390/su15129816 [6] Zhenning Wu, et. al. A Pinning Actor-Critic Structure-Based Algorithm for Sizing Complex-Shaped Depth Profiles in MFL Inspection with High Degree of Freedom[J]. Complexity, Hindawi, vol. 2021, pages 1-12, April. [7] 吴振宁, 等. 基于空间映射的匀速采样漏磁检测复杂缺陷重构方法[J]. 仪器仪表学报, 2018, 039(007):164-172.