Jun JIANG

Researcher   Supervisor of Doctorate Candidates  

Gender:Male

Education Level:Postgraduate (Postdoctoral)

Degree:Doctoral Degree in Engineering

School/Department:College of Automation Engineering

Discipline:Electrical Power System and Automation. High Voltage and Electrical Insulation Engineering

Business Address:电气楼414室

Contact Information:jiangjun0628#nuaa.edu.cn(联系时将#替换为@)


Paper Publications

Dynamic Fault Prediction of Power Transformers Based on Hidden Markov Model of Dissolved Gases Analysis

Hits:

Affiliation of Author(s):自动化学院

Journal:IEEE Trans Power Delivery

Abstract:Dissolved gases analysis (DGA) provides widely recognized practice for oil-immersed power transformers, and it is mainly interpreted for fault diagnosis. In order to accurately estimate the health index state of power transformers and predict the incipient operation failure, a dynamic fault prediction technique based on hidden Markov model (HMM) of DGA is proposed in this paper. Gaussian mixture model, as a soft clustering method, is used to extract the static features of different health states from a DGA dataset of 65 in-service power transformers with 1600 days operation. Especially, a sub-health state is introduced to enrich the health index and aging stages of power transformers. The static features between health states and concentrations of dissolved gases are built, and the effectiveness of clustering is cross validated. Furthermore, taking time sequence into consideration, transition probability of power transformer between different health states based on the HMM model is calculated and analyzed. The effectiveness of dynamic early warning and incipient fault prediction in sub-health status of in-service power transformers has been proved. Moreover, the dynamic fault prediction is able to provide decision-making basis for practical condition-based operation and maintenances. © 1986-2012 IEEE.

ISSN No.:0885-8977

Translation or Not:no

Date of Publication:2019-08-01

Co-author:Chen, Ruyi,Chen, Min,Wang, Wenhao,Zhang Charles

Correspondence Author:Jun JIANG

Pre One:江军,吴雪瑞,赵晓林,张晓琴,朱洪斌,张潮海*. 基于光纤S锥的电力变压器油中微水传感研究[J]. 中国电机工程学报,2022, 42(01): 425-434. (重要核心期刊)

Profile

研究员/博士生导师/电气工程系副主任/新能源发电与电能变换江苏省高校重点实验室副主任,南京航空航天大学长空学者。入选全球前2%顶尖科学家榜单,英国曼彻斯特大学国家公派访问学者。主要从事电力装备状态监测与故障诊断、多电飞机电气系统故障检测、电力电子高频绝缘分析等方面的研究。

已发表学术论文100余篇,SCI检索论文70余篇;主编英文专著1部、编写教材1本;参编国家标准1项、行业标准1项;授权国际专利2项,国家发明专利27项。先后入选中国科协优秀中外青年交流计划(青年科技人才类)、中国电机工程学会青年人才托举工程、江苏省青年科技人才托举工程、江苏省高层次创新创业人才引进计划,获得ISH Young Researcher Award(青年学者奖)、江苏省电力年度科技人物奖、南京航空航天大学青年创新奖等荣誉。研究成果获得2021年中国电工技术学会科技进步奖一等奖1项(排5)、2024年中国电工技术学会科技进步奖二等奖1项(排1)、2023年设备管理与技术创新成果特等奖1项(排4)、2023年产学研合作创新成果奖1项(排1)。

欢迎积极主动、追求上进、热爱研究的同学加入团队,共同发现问题、解决问题并开展有价值的应用型学术探究!


【学生培养方面】

(1)目前在读博士生4人、硕士研究生11人;已指导毕业研究生16名,入职大型央企12人(其中电网公司9人)、GF院所3人、政府事业单位1人。

(2)指导的研究生获国家奖学金9人(top 5%)、三好研究生标兵6人(top 1%)、三好研究生6人、优秀毕业生3人。

(3)指导的学生获校级优秀学位论文3篇(1篇获江苏省优秀学位论文),国际国内学术会议荣誉5人。

(4)指导的学生主持江苏省研究生创新项目和校级创新基金项目9项。

(5)指导的学生荣获全国研究生电子设计竞赛国赛一等奖1项、全国高校电气电子工程创新大赛国赛一等奖2项、二等奖1项等诸多荣誉。


【部分学术成果】

(1)专著教材

[1] Jun Jiang, Guoming Ma. Optical Sensing in Power Transformers[M]. Wiley & IEEE, 2021.

[2] 江军,陈鹏伟,张卓然. 电力系统综合仿真与实验[M]. 科学出版社, 2023.


(2)学术论文(部分)

[1] Jun Jiang*, Beibei Chen, Qingwei Zhu, Xuefeng Duan, Renli Fu. Reliability Modeling and Analysis of High-Power Medium-Voltage Power Electronic Transformers [J]. IEEE Transactions on Power Electronics, 2025. (电力电子领域顶刊)

[2] Ruizhi Wang, Jun Jiang*, Chaoyue Zhang, Xiaohan Li, Jian Shao. Highly Sensitive Micro-Optical Fiber Probe for Power Transformer Partial Discharge Detection [J]. IEEE Transactions on Power Delivery, 40(4): 1910 - 1919, 2025.

[3] Jun Jiang, Dezhi Cui, Jinfeng Liu, Beibei Chen, Jie Chen*, Renli Fu. Partial Discharge Characteristics of Epoxy Resin Under High-Frequency Pulse Electrical Stress [J]. IEEE Transactions on Power Electronics, 40(1): 2017-2027, 2025. (电力电子领域顶刊)

[4] Wei Liu, Jun Jiang*, Yue Wang, Junzhe Zhang, Xuefeng Duan, Renli Fu. WBG Power Semiconductor Module Packaging Insulation Characteristic Under Electrothermal Stress [J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 13(1): 368-379, 2025.

[5] Jun Jiang, Yaqian He, Yu Song, Qiang Wu, Qian Wang*. Optical Ultrasonic Detection for Partial Discharge Under Pulsed High Voltage[J]. IEEE Transactions on Instrumentation and Measurement, 73: 3541408, 2024.

[6] Wenqian Zhang, Jun Jiang*, Bo Li, Shuhang Shen, Yuncai Lu, Yanbo Tao. Residual Lifetime Evaluation of Power Transformers Based on Data Fusion and Wiener Model [J]. IEEE Transactions on Power Delivery, 38(6): 4189-4201, 2023. 

[7] Jun Jiang*, Zhi Li, Wenyuan Li, Prem Ranjan, Xingdong Wei, Xu Zhang, Chaohai Zhang. A review on insulation challenges towards electrification of aircraft [J]. High Voltage, 8(2): 209-230, 2023. (封面论文)

[8] Yu Song, Jun Jiang*, Yaqian He, Hongyang Zhou, Guoming Ma, Xiaohan Li, Dongdong Zhang, Shuzheng Wang, Partial Discharge Detection Based on Optimization of Optical Probe and Sagnac Interference [J]. IEEE Transactions on Instrumentation and Measurement, 71: 9006509, 2022. 

[9] Jun Jiang, Wu Chen*, Yu Song, Zhan Shen, Active Control Strategy of Partial Discharge for Insulation of High-power High-voltage High-frequency Transformers (H3Ts) [J]. IEEE Transactions on Industrial Electronics, 70(7): 7521-7524, 2023. (电力电子领域顶刊)

[10] 刘维,江军*,沈志邦,张潮海. 高dv/dt电压下航空线缆局部放电仿真及特性分析[J].中国电机工程学报,2024, 44(24):9897-9909.(重要核心期刊)

[11] 江军,吴睿涵,何亚倩,张晓琴,李晓涵*. 基于光强调制型光热干涉法的绝缘油中乙炔传感[J]. 中国电机工程学报,2024, 44(20):8316-8327. (重要核心期刊)

[12] 江军*,李治,张本栋,沈志邦,李文源,张潮海. 航空线缆的绝缘性能与检测综述[J]. 中国电机工程学报,2023, 43(10):4005-4022. (重要核心期刊)

[13] 江军,吴雪瑞,赵晓林,张晓琴,朱洪斌,张潮海*. 基于光纤S锥的电力变压器油中微水传感研究[J]. 中国电机工程学报,2022, 42(01): 425-434. (重要核心期刊)

[14] 张本栋,江军*,李治,李世民,张潮海. 面向未来多电飞机的低气压下局部放电研究[J]. 航空学报,2022, 43(07):275-285.(重要核心期刊)


(3)授权发明专利(部分)

[1] 何亚倩,江军,程紫莹,吴睿涵,王睿智,陈贝贝,张超越. 基于微纳光纤的变压器油中溶解气体检测装置及检测方法[P]. 发明专利:CN119125012B, 申请日:2024.09.09,授权日:2025.02.25,专利号:ZL202411254398.1

[2] 江军,陈贝贝,张文乾,张超越,陈杰. 一种计及绝缘寿命的电力电子变压器可靠性评估方法[P]. 发明专利:CN118965619B, 申请日:2024.07.30,授权日:2025.02.18,专利号:ZL202411032552.0

[3] 江军,别一凡,陈钜栋,张潮海. 一种基于红外图像的电力变压器套管智能油位识别方法[P]. 发明专利:CN111639579A, 申请日:2020.05.25.授权日:2023.08.15,专利号:ZL202010452197.8.

[4] 江军,宋宇,何亚倩,崔德智,李晓涵. 一种局部放电光学超声检测系统[P]. 发明专利:CN115144712A, 申请日:2022.08.11, 申请号:CN202210961603.2.授权日:2023.04.28,专利号:ZL202210961603.2.

[5] Jun Jiang, Kai Wang, Judong Chen, Wei Li, Yifan Bie, Chaohai Zhang. Optical Fiber Detection Device for Detecting Discharge Fault of High-Voltage Bushing, Granted data: 27/07/2021, US 11,073,414,B2.


【承担科研项目】(部分列举)

[1] 国家自然科学基金面上项目,基于少模光纤模间干涉的局部放电超声高灵敏度感知机制与准分布式检测,2026.01-2029.12.

[2] 国家自然科学基金面上项目,多电飞机电气系统中直流串联电弧建模与检测研究,2023.01-2026.12.

[3] 国家自然科学基金面上项目,基于光纤光热干涉法的高灵敏度油中痕量溶解气体传感机制研究,2022.01-2025.12.

[4] 国家自然科学基金青年项目,基于微纳光纤倏逝波的油中溶解乙炔传感机理与试验研究,2019.01-2021.12.

[5] 江苏省自然科学基金面上项目,面向未来多电飞机电气系统局部放电检测关键技术研究,2021.07-2024.06.

[6] 国家外国专家局,高压电力装备局部放电先进光纤传感技术,2024.01-2025.12.

[7] 航空科学基金,多电飞机电气系统直流串联电弧故障检测与诊断关键技术,2023.10-2025.09.

[8] GF科工局,****连接器,2025.06-2028.06.

[9] 江苏省科技计划项目,高电压航空线缆复合绝缘设计与可靠性关键技术的合作研发,2025.01-2027.12.

[10] 江苏省科技计划项目,基于微纳光纤的电力设备油中微水传感器合作研发,2024.04-2027.03.

[11] 国家重点研发计划,超大尺寸复材机翼整体壁板高性能精确成型方法研究,2021.12-2026.11.

[12] 国家电网有限公司科技项目,油浸式电流互感器油中溶解气体光学检测关键技术研究,2024.08-2025.11.

[13] 国家电网有限公司科技项目,光学麦克风一体化融合及可靠性评估技术研究,2024.12-2026.03.

[14] ***有限公司科技项目,SF6气体设备碳排放量化管控技术研究,2024.11-2025.09.