黄湛钧


的个人主页 http://teacher.nwpu.edu.cn/A2E9FE2A5E43156FE053640A280A0979

基本信息 The basic information

黄湛钧

航空学院

博士研究生毕业

工学博士

副教授

zj_huang@sina.com

综合介绍 General Introduction

黄湛钧博士,现任西北工业大学副教授,硕士生导师,中国航空学会会员、美国电气与电子工程师协会会员、中国人工智能学会 人工智能与安全专业委员会会员。主要从事机器学习、人工智能、数据处理、特征提取、模式识别与应用、故障诊断与健康管理、机电、航电等方向的研究。已发表论文和专利25余项,中科院一区10篇,承担或参与国家自然科学基金、中船重工、中航西飞等项目10余项担任SCI《IEEE Transactions on Smart Grid》;《IEEE Transactions on Power Electronics》; 《IEEE Transactions on Neural Networks and Learning Systems》; 《IEEE Transactions on Industrial Informatics》;《IEEE Transactions on Industrial Electronics》《IEEE Transactions on Cybernetics》 ; 《IEEE Transactions on Energy Conversion》;《IEEE Transactions on Systems, Man and Cybernetics: Systems》;《 IEEE Transactions on Instrumentation and Measurement》; 《Neuro Computing》等20多个国际顶级期刊审稿人。

教育教学 Education And Teaching

本科生课程:《Python与机器学习》,32学时

招生信息 Admission Information

欢迎涉及航空、航天、飞行器设计、人工智能、计算机、电子信息、数学、电气、机电等相关方向的同学加入!!

email:zj_huang@sina.com 


科学研究 Scientific Research

主要从事的研究方向:

   1.  机器学习、人工智能、模式识别与应用

   2.  数据处理、特征提取

   3.  故障诊断与健康管理

   4.  机电、航电系统等

 

科研基金与项目:

1. 国家自然科学基金面青年项目,面向复杂数据环境的逆变器故障特征提取与多目标诊断方法研究,2021/1-2023/12,在研;

2. 中央高校基本科研业务,功率变换器的故障诊断与健康管,2020/7-2023/7,在研;

3. 中国船舶重工集团第七一六研究所项目,基于图像的XXXXX对目标打击效果评估建模技术研究,2020/6-2020/12,结题;

4. 中国船舶重工集团第七一六研究所项目,XXX超视距对海、对陆指挥控制流程技术及仿真建模技术研究,2020/6-2020/12,结题;

5. 国家自然科学基金面面上项目,复杂互联系统的自适应最优容错控制及其在主动配电网中的应用,2020/1-2023/12,在研

6. 中航西安飞机工业集团股份有限公司项目,XXXXXX检测仪改进研制,2020/1-2021/12,在研

7. 中国航空工业集团有限公司项目,XXX战术决策统一态势图,2020/1-2021/12,在研;

 

学术成果 Academic Achievements

学术论文发表:

[1] Zhanjun Huang, Z Wang, X Yao, et al, Multi-Switches Fault Diagnosis Based on Small Low Frequency Data for Voltage-Source Inverters of PMSM Drives, IEEE Transactions on Power Electronics, vol. 34, no. 7, pp. 6845-6857, 2019. ( SCI; 一区; IF: 7.224)

[2] Zhanjun Huang, Z Wang, A Multi-Switch Open Circuit Fault Diagnosis of Microgrid Inverter Based on Slidable Triangularization Processing, IEEE Transactions on Power Electronics.vol. 36, no. 1,pp. 922-930, 2021.( SCI;一区;IF: 7.224)

[3] Zhanjun Huang, Z Wang, A Fault Diagnosis Algorithms for Microgrid Three-Phase Inverter Based on Trend Relationship of Adjacent Fold Lines, IEEE Transactions on Industrial Informatics, vol. 16, no. 1,pp. 267-276, 2020. ( SCI; 一区; IF: 7.377)

[4]Zhanjun Huang, Z Wang, C Song, Complementary Virtual Mirror Fault Diagnosis Algorithm for Microgrid Inverter, IEEE Transactions on Industrial Informatics.DOI: 10.1109/TII.2021.3053965. (SCI检索;一区;IF: 7.377)

[5] Zhanjun Huang, Z Wang, et al, A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low Frequency Processing for Microgrid Inverter, IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 3889-3898, 2019. ( SCI; 一区; IF: 7.377)

[6] Z Wang, Zhanjun Huang, C Song, Huaguang Zhang, Multiscale Adaptive Fault Diagnosis Based on Signal Symmetry Reconstitution Preprocessing for Microgrid Inverter Under Changing Load Condition, IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 797-806, 2018. ( SCI; 一区; IF: 10.486)

[7] Zhanjun Huang, Z Wang, H Zhang, A Diagnosis Algorithm for Multiple Open-Circuited Faults of Microgrid Inverters Based on Main Fault Component Analysis, IEEE Transactions on Energy Conversion, vol. 33, no. 3, pp. 925-937, 2018. ( SCI; 一区; IF: 4.614)

[8] Zhanjun Huang, Z Wang, H Zhang, Multiple Open-Circuit Fault Diagnosis Based on Multistate Data Processing and Subsection Fluctuation Analysis for Photovoltaic Inverter, IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 3, pp. 516-526, 2018. ( SCI; 一区; IF: 3.067)

[9] L Liu, Z Wang, Zhanjun Huang, Huaguang Zhang, Adaptive Predefined Performance Control for MIMO Systems With Unknown Direction via Generalized Fuzzy Hyperbolic Model, IEEE Transactions on Fuzzy Systems, vol. 25, no. 3, pp. 527-542, 2017. ( SCI; 一区; IF: 8.759)

[10] Z Wang, S Ding, Zhanjun Huang, Huaguang Zhang, Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 11, pp. 2337-2350, 2016. ( SCI; 一区; IF: 11.683)

[11] S Ding, Z Wang, Zhanjun Huang, et al. Novel Switching Jumps Dependent Exponential Synchronizatio Criteria for Memristor-Based Neural Networks, NEURAL PROCESSING LETTERS, vol. 45, no. 1, pp. 15-28, 2016. (SCI检索;二区;IF: 2.591)

[12] Y Wu, Z Wang, Zhanjun Huang, Distributed fault detection for nonlinear multi-agent systems under fixed-time observer ,Journal of the Franklin Institute. vol. 356, no. 13, pp. 7515-7532, 2019 ( SCI;一区;IF: 3.653)

[13] X Yao, Z Wang, Zhanjun Huang, Deep Echo State Network with Multiple Adaptive Reservoirs for Time Series Prediction,IEEE Transactions on Cognitive and Developmental Systems. DOI: 10.1109/TCDS.2021.3062177( SCI;;IF: 2.667)

[14] Zhanjun Huang, Z Wang, H Zhang. Multilevel Feature Moving Average Ratio Method for Fault Diagnosis of the Microgrid Inverter Switch. IEEE/CAA Journal of Automatica Sinica, 2017, 4(2), 177-185.( SCI;一区;IF:5.129)

[15]Zhanjun Huang, A Wang, L Cui, Research and Analysis of Discrete PID Controller Parameters’ Optimization Based on Particle Swarm Optimization Algorithm, Applied Mechanics & Materials, 2014, pp: 602-605. (EI)

[16] P Liu, Zhanjun Huang, Y Liu, Z Wang, Delay-Dependent Stability Analysis for Load Frequency Control Systems with Two Delay Components, Chinese Control and Decision Conference, 2018, pp: 6476-6481. (EI)

[17] Zhanjun Huang, Z Wang, L Cui, et al, Boost converter optimal control based on MFAC and FPSOA under model mismatch, Chinese Control and Decision Conference. 2016, pp: 5778-5783. (EI)

[18] A Wang, Zhanjun Huang, Z Yu, Q Sao, Research and Design of Capsule-like Robot Wireless Powering System Based on Class-E Inverter, International Conference on Computer Information Systems and Industrial Applications, 2015, pp:824-828. (EI)

[19] A Wang, Zhanjun Huang, L Cui, et al, Parameters optimization study and analysis of PID controller in buck converter based on fuzzy particle swarm optimization algorithm, International Conference on Information Science, Electronics and Electrical Engineering. IEEE 2014, pp: 1562-1566. (EI)


 

专利:

[1] 黄湛钧,王占山,潘家鑫,崔超奇等,一种微电网故障诊断过程中的故障信号特征值提取方法,国家发明专利,专利号:ZL201510868652.1

[2] 黄湛钧,王占山,潘家鑫,何涛,基于多频段歪度分析的微网逆变器自适应故障诊断方法,国家发明专利,专利号:ZL201510968650.X

[3] 王占山,黄湛钧,刘磊,牛海莎,基于通用无模型虚拟控制器的在线设计与实验方法,国家发明专利,专利号:ZL20161068181.8

[4] 潘家鑫,黄湛钧,非完备信息下同步博弈蒙特卡洛搜索多树变种方法,专利号:201910860992.8

 

学术文献 Academic Literature

社会兼职 Social Appointments

中国航空学会会员;

美国电气与电子工程师协会会员;

中国人工智能学会 人工智能与安全专业委员会会员;

担任20多个国际顶级期刊审稿人:

IEEE Transactions on Smart Grid》;

《IEEE Transactions on Power Electronics》;

《IEEE Transactions on Neural Networks and Learning Systems》;

《IEEE Transactions on Industrial Informatics》;

《IEEE Transactions on Industrial Electronics》;

《IEEE Transactions on Cybernetics》 ; 

《IEEE Transactions on Energy Conversion》;

《IEEE Transactions on Systems, Man and Cybernetics: Systems》;

《 IEEE Transactions on Instrumentation and Measurement》; 

《Neuro Computing》

 等