张晓飞，1983年生，博士，中共党员，湖南大学电气与信息工程学院教授、博士生导师、岳麓学者特聘教授，湖南省杰出青年基金获得者，湖南省仪器仪表学会常务理事，IEEE Senior Member。主要从事装备检测、监测、故障诊断、预测与健康管理，智能传感与信号处理，数据融合与人工智能，结构完整性分析，仿真建模等领域的理论与应用研究。主持国家自然科学基金青年项目、面上项目、国家重点研发计划课题、GF基础加强计划项目课题、GF预研基金、湖南省重点研发计划项目等20余项。发表SCI论文50余篇，授权发明专利20余项，获省部级科学技术进步三等奖2项、三等功、中国自动化学会科技进步一等奖、湖南省一流课程、湖南大学研究生教学成果奖、湖南省仪器仪表学会科技进步一等奖、湖南省教学创新大赛一等奖等。

1、装备测试、诊断、预测与健康管理；

2、智能传感与信息处理、数据融合与人工智能、视觉感知与模式识别；

3、装备数字孪生、优化设计与智能运维。

招生类别：科学和专业硕士，工学和工程博士。

招生专业：电气工程学硕、电子信息类专硕、能源动力类专硕，电气工程工学博士、能源动力工程博士。

欢迎电气、机械等专业的同学报考！

相关专业博士均可进站博士后

邮箱：zhangxiaofei@hnu.edu.cn；QQ：564240696；微信号：tsahyopi

2002.09~2006.06国防科技大学机械工程及其自动化 学士

2006.09~2008.12国防科技大学机械电子工程 硕士

2009.03~2013.12国防科技大学机械电子工程 博士

2014.01~2018.10国防科技大学 讲师

2018.11~2023.12湖南大学电气与信息工程学院 副教授 博士生导师,岳麓学者晨星岗

2024.1 ~至今 湖南大学电气与信息工程学院 教授 博士生导师,岳麓学者特聘教授

[1]国家重点研发计划项目（课题）：风电机群全寿命周期服役质量动态调控技术

[2]国家自然科学基金面上项目：基于视觉知识的永磁同步电机状态监测与故障诊断理论和方法研究

[3]基础加强计划（173）课题：服役环境下XXX多物理场耦合仿真分析

[4]湖南省重点研发计划项目：面向新能源汽车运行安全的驱动电机诊断与监测技术

[5]国家自然科学基金青年项目：基于随机共振的直升机传动系统关键部件损伤信息精准检测理论与方法

[6]国家重点研发计划项目子课题：基于产品大数据应用的电机故障诊断与寿命预测技术

[7]预研基金项目：复杂系统远程保障智能云服务体系构建研究

[8]湖南省杰出青年基金项目：2024JJ2024

[9]横向合作项目：固体发动机数字孪生样机开发

[10]横向合作项目：大功率感应电机智能控制与故障检测系统

[11]横向合作项目：通用芯级捆绑**多体动力学闭环仿真

[12]横向合作项目：某冷发射系统动力响应特性研究

[13]横向合作项目：某型XX体系可靠性建模与评估方法研究

[14]横向合作项目：环境适应性模型研制

[15]横向合作项目：固体发动机数字孪生体集成框架开发

[16]横向合作项目：某系统健康管理试验评价软件模块开发

[17]横向合作项目：巡飞弹助推火箭仿真研究

[18]横向合作项目：设计阶段通用质量特性评估

[19]横向合作项目：参数与故障联合的状态评估系统研究

[20]横向合作项目：XX电力系统通用质量特性指标试验验证要求研究与通用质量特性评估

发表论文：

[1]Fengqin Huang,Xiaofei Zhang*,et al.Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Motors Using Magnetic Leakage Signals.IEEE Transactions on Industrial Informatics,2022.

[2]Yao Tang,Xiaofei Zhang*,et al.Graph Cardinality Preserved Attention Network for Fault Diagnosis of Induction Motor under Varying Speed and Load Condition.IEEE Transactions on Industrial Informatics,2021.

[3]Zhuo long,Xiaofei Zhang*,et al.Motor Fault Diagnosis Based on Scale Invariant Image Features.IEEE Transactions on Industrial Informatics,2021.

[4]Yao Tang,Xiaofei Zhang*,et al.Rotating Machine Systems Fault Diagnosis Using Semi-supervised Conditional Random Field Based Graph Attention Network[J].IEEE Transactions on Instrumentation&Measurement,2021.

[5]Zhuo long,Xiaofei Zhang*,et al.Motor Fault Diagnosis Using Image Visual Information and Bag of Words Model.IEEE Sensors Journal,2021.

[6]Zhuo long,Xiaofei Zhang*,et al.Motor Fault Diagnosis Using Attention Mechanism and Improved Adaboost Driven by Multi-sensor Information.Measurement,2021.

[7]Jinping Xie,Xiaofei Zhang*,et al.Characteristics simulation method of megawatt three-blade horizontal axis wind turbine based on laboratory kilowatt low-power motor system.IEEE Transactions on Industry Applications,2021.

[8]Xiaofei Zhang⁠,et al.CFRP Barely Visible Impact Damage Inspection and Evaluation Based on Nonlinear Ultrasound Indicators.Composites part B,2019.

[9]Xiaofei Zhang,et al.CFRP Impact Damage Inspection Based on Manifold Learning Using Ultrasonic Induced Thermography.IEEE Transactions on Industrial Informatics,2018.

[10]Xiaofei Zhang,et al.CFRP Barely Visible Impact Damage Inspection Based on Nonlinear Ultrasound Signal Sparse Reconstruction.IEEE Sensors Journal,2018.

[11]Xiaofei Zhang,⁠et al.Stochastic Resonance in Multi-scale Bistable Array.Physics Letters A,2013.

[12]ZHANG Xiaofei,⁠et al.Multi-scale bistable stochastic resonance array:A novel weak signal detection method and application in machine fault diagnosis.Science China Technological Science,2013.

[13]Xiaofei Zhang,⁠et al.Fault Prediction for Electromechanical Equipment Based on Spatial-Temporal Graph Information.IEEE Transactions on Industrial Informatics,2022.

[14]Yujia Zhai,Chang Niu,Xiaofei Zhang*,⁠et al.Modelling and Analysis on AC Loss of HTS Tapes with Magnetic Substrate under Harmonic Current in Power Systems.IEEE Transactions on Applied Superconductivity,2022.

[15]Yao Tang,Xiaofei Zhang*,⁠et al.Multi-Sensor-Driven Motor Fault Diagnosis Method Based on Visual Features.IEEE Transactions on Industrial Informatics,2022.

[16]Jinping Xie,Xiaofei Zhang*,et al.Fault Detection of Permanent Magnet Synchronous Motor Based on Image Content Retrieval.IEEE Transactions on Instrumentation&Measurement,2023.

[17]Xiaofei Zhang,Xin Peng,⁠et al.Multi-Sensor-Driven Cross-Domain Motor Fault Diagnosis Based on Multi-Basis Energy Pattern.IEEE Sensors Journal,2023.

[18]Xiaofei Zhang,Jingbo Tang,⁠et al.Few-shot Fault Diagnosis Based on Heterogeneous Information Fusion and Meta-learning.IEEE Sensors Journal,2023.

[19]Jinping Xie,Zhuo Long,Xiaofei Zhang*,et al.Demagnetization Fault Diagnosis of PMSM Using Custom Phase Space Reconstruction Image.IEEE Transactions on Instrumentation&Measurement,2023.

[20]Yinpeng Qu,Xiwei Wang,Xiaofei Zhang*,et al.An Adaptive Method for Multi-fault Diagnosis of Induction Motor under Sharp Changing Speed and Load Condition.IEEE Transactions on Industrial Informatics,2023.

[21]Jinping Xie,Xiaofei Zhang*,et al.Custom Phase Space Reconstruction Image-driven Fault Diagnosis for PMSM under Few-labeled Samples.IEEE Transactions on Power Electronics,2023.

[22]Huanan Hu,Jingwei Gao,Xiaofei Zhang*,et al.Fast Online Fault Diagnosis for PMSM Based on Adaptation Model.IEEE Sensors Journal,2024.

[23]Junhong Zhou,Xiaofei Zhang*,et al.Interpretable Leakage Flux Pattern of Motor for Complex Electromechanical System,IEEE Transactions on Industrial Informatics,2025.

[24]Fengqin Huang,Xiaofei Zhang*,et al.Denoising Universal Domain Adaptation Method for PMSM Fault Diagnosis Under Category Inconsistency.IEEE Sensors Journal,2025.

[25]Zhuolin Bao,Xiaofei Zhang*,et al.An Adaptive Quantization Method for Edge Computing-Based Fault Diagnosis.IEEE Sensors Journal,2025.

[26]Heng Shan,Xiaofei Zhang*,et al.A Prototype Learning Framework Based on Continual Learning for Motor Incremental Fault Diagnosis under Few-Shot Conditions.IEEE Transactions on Instrumentation&Measurement,2025.