周登极 - 上海交通大学 - 机械与动力工程学院

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周登极副教授收藏完善纠错
上海交通大学机械与动力工程学院
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个人简介

教育背景 2011.09-2016.06 上海交通大学动力工程及工程热物理博士 2013.11-2014.04 Cranfield Univeristy, Energy and Power Engineering, Visiting Student 2007.09-2011.06 西安交通大学能源与动力工程学士工作经历 2021.1至今上海交通大学机械与动力工程学院副教授 2018.07-2020.12 上海交通大学机械与动力工程学院助理教授 2017.07-2018.07 Univerisity of Michigan, Ann Arbor, Visiting Scholar 2016.07-2018.06 上海交通大学机械与动力工程学院博士后出访及挂职经历 2017.12-2018.06 FM Global, Advisory Scientist 科研项目 2019-2021 中国科协青年人才托举工程项目：***航空发动机健康管理方法研究，负责人 2019-2020 北京科东科研项目，综合能源系统态势感知与预测技术研究，负责人 2019-2020 国防科工局民用航天专项，***轨迹预测技术研究，专题负责人 2018-2020 国家自然科学基金青年项目：燃气轮机气路故障多学科影响及其平行诊断方法研究，负责人 2018-2020 中国石油智慧管网项目：长输天然气管网在线经济性分析系统开发，负责人 2017-2018 中国石油智慧管网预研：长输天然气管网动态经济性分析方法研究，负责人 2017-2018 中国博士后科学基金第11批特别资助：面向能源互联网的能量路由器连续拓扑优化研究，负责人 2016-2017 中国博士后科学基金第60批面上资助：高含湿热力系统中实际气体混合机理及其对部件特性影响研究，负责人 2019-2022 国家自然科学基金面上项目：多物理场作用下的燃气轮机高温叶片全运行周期寿命模型研究，第一参与人 2017-2019 航空基金民发专项重点项目：航空发动机气路故障影响及诊断规则研究，第一参与人 2017-2019 中国石油西部管道公司科研项目：燃驱压缩机组健康管理及预测技术研究，第一参与人 2016-2017 西门子公司科研项目：基于Web的联合循环电厂热力计算平台研究，第一参与人 2014-2016 中国石油西气东输公司科研项目：国产化燃驱压缩机组状态评估及故障诊断系统研制，第一参与人 2012-2013 中国石油西气东输公司科研项目：燃气轮机压缩机组以可靠性为中心的维护理论(RCM)研究，第一参与人 2012-2013 上海电气电站集团科研项目：燃气轮机仿真软件开发，第一参与人 2016-2018 上海市科技创新行动计划基础研究：民用航空发动机故障诊断设计与验证技术研究，参与人 2016-2017 上海市科委咨询项目：长三角能源互联网发展战略研究，参与人 2009-2012 上海市科委重大专项：IGCC系统仿真技术研究，参与人 2015-2016 上海电气电站集团科研项目：1000MW高效宽负荷超超临界发电机组总体性能监测平台研制，参与人 2012-2014 国电电科院科研项目：联合循环机组进气冷却影响研究，参与人图书著作： [1] 杨建华, 周登极. 变尺度共振理论及其在故障诊断中的应用. 上海: 科学出版社, 2020. [2] 张会生, 周登极. 热力系统建模与仿真技术. 上海: 上海交通大学出版社, 2018. [3] 张会生, 周登极. 燃气轮机可靠性维护理论及应用. 上海: 上海交通大学出版社, 2016. 教学工作《系统模型、分析与控制（A类）》《大数据分析》《能源动力装备大数据管理》（致远荣誉计划）软件版权登记及专利第一发明人. 节流式天然气在线轻烃分离装置. 上海：ZL201310618366. [发明专利] 第一著作权人. 基于自定义算法链的飞行器历史数据机器学习软件. 上海：2020SR0614726. [软件著作权] 第一著作权人. 数据驱动的飞行器在线健康管理软件. 上海：2020SR0614733. [软件著作权] 第一著作权人. 设备管理与RCM分析软件. 上海：2019SR0897149. [软件著作权] 第一著作权人. 燃驱压缩机组预测及健康管理软件. 上海：2019SR0896594. [软件著作权] 第一著作权人. 燃驱压缩机组动态效率监测系统软件. 上海：2018SR11S137931. [软件著作权] 第一著作权人. 燃气轮机状态监测与健康管理软件. 上海：2014SR133155. [软件著作权] 荣誉奖励 2019 中国科协青年人才托举工程 2019 ASME安全工程与可靠性分析领域学生论文竞赛第一名指导教师 2018 ASME安全工程与可靠性分析领域学生论文竞赛第二名指导教师 2017 上海交通大学机械与动力工程学院博士后考核优秀 2016 上海交通大学优秀毕业生 2016 第四届全球青年科学家峰会新加坡挑战优秀奖 2014 石油化工及其自动化行业科技进步二等奖 (省部级，排名第四) 2014 第九届轻型燃气轮机会议论文竞赛一等奖

研究领域

能源与动力装备建模与仿真能源与动力装备故障诊断与健康管理能源与动力装备总体性能设计与分析能源与动力装备运行与维护优化研究对象涵盖：长输天然气管道动力、航空发动机、航天动力、综合能源系统。近期研究内容为数据驱动模型的可解释性；最优化问题求解的分布式计算方法；大型天然气管网混氢输运。

近期论文

查看导师最新文章（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）

[4] Zhou D J, Hao J R, Huang D W, Jia X Y, Zhang H S*. Study on dynamic simulation of gas turbines via feature similarity-based transfer learning. Frontiers in Energy, 2020. [5] Zhou D J*, Jia X Y, Hao J R, Wang D C, Huang D W, Wei T T. Study on Intelligent Control of Gas Turbines for Extending Service Life based on Reinforcement Learning. Journal of Engineering for Gas Turbines and Power, 2020. [6] Zhou D J*, Huang D W, Hao J R, Wu H, Chang C C, Zhang H S. Fault diagnosis of gas turbines with thermodynamic analysis restraining the interference of boundary conditions based on STN. International Journal of Mechanical Sciences, 2020, 106053. [7] Zhou D J*, Huang D W, Hao J R, Ren Y L, Jiang P, Jia X Y. Vibration-based fault diagnosis of the natural gas compressor using adaptive stochastic resonance realized by Generative Adversarial Networks. Engineering Failure Analysis, 2020, 116:104759. [8] Zhou D J*, Ma S X, Huang D W, Zhang H S, Weng S L. An operating state estimation model for integrated energy systems based on distributed solution. Frontiers in Energy, 2020. [9] Zhou D J*, Wei T T, Ma S X, Zhang H S, Huang D, Jiang P, Lu Z H. Study on Meta-Modeling Method for Performance Analysis of Digital Power Plant. Journal of Energy Resources Technology, 2020, 142(4): 042005. [10] Zhou D J*, Wei T T, Huang D W, Li Y F, Zhang H S. A gas path fault diagnostic model of gas turbines based on changes of blade profiles. Engineering Failure Analysis, 2020, 109: 104377. [11] Zhou D J*, Yao Q B, Wu H, Ma S X, Zhang H S. Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks. Energy, 2020, 200: 117467. [12] Yang J H, Huang D W*, Zhou D J, Liu H G. Optimal IMF selection and unknown fault feature extraction for rolling bearings with different defect modes. Measurement, 2020, 157: 107660. [13] Huang D W, Yang J H*, Zhou D J, Litak G. Novel Adaptive Search Method for Bearing Fault Frequency Using Stochastic Resonance Quantified by Amplitude-Domain Index. IEEE Transactions on Instrumentation and Measurement, 2020, 69(1): 109-121. [14] 李景轩, 周登极, 肖旺, 张会生. 燃气轮机机理-数据混合建模方法研究. 热能动力工程, 2019, 34(12): 33-39. [15] Huang D W, Yang J H*, Zhou D J, Litak G, Liu H G. Influence of Poisson White Noise on the Response Statistics of Nonlinear System and Its Applications to Bearing Fault Diagnosis. Journal of Computational and Nonlinear Dynamics, 2019,14(3): 031010. [16] Ma S X, Sun S N, Wu H, Zhou D J, Zhang H S*, Weng S L. Decoupling optimization of integrated energy system based on energy quality character. Frontiers in Energy, 2018, 12(4): 540-549. [17] 黄地*, 韦婷婷, 周登极, 张会生, 苏明. 湿空气透平循环饱和器水温控制建模分析. 南京航空航天大学学报, 2018, 50(04): 477-483. [18] Ma S X, Zhou D J*, Zhang H S, Weng S L, Shao T M. Modeling and operational optimization based on energy hubs for complex energy networks with distributed energy resources. Journal of Energy Resources Technology, 2018, 141(2): 022002. [19] Huang D, Zhou D J, Zhang H S*, Su M, Weng S L. Dynamic model of saturator based on a global heat and mass transfer coefficient. Journal of Central South University, 2018, 25(5):1173-1181. [20] 梁茂宗, 周登极*, 张会生, 魏芳. 基于改进D-S证据理论的燃气轮机滑油系统故障诊断. 燃气轮机技术, 2018, 31(02): 17-22+36. [21] Zeng D T, Zhou D J*, Tan C Q, Jiang B Y. Research on model-based fault diagnosis for a gas turbine based on transient performance. Applied Science, 2018, 8(1): 142. [22] Zhou D J*, Wei T T, Zhang H S, Ma S X, Wei F. An information fusion model based on Dempster–Shafer evidence theory for equipment diagnosis. ASME Tractions J. Risk Uncertainty Part B, 2018, 4(2): 021005. [23] Chen J W, Li J X, Zhou D J, Zhang H S*, Weng S L. Control strategy design for a SOFC-GT hybrid system equipped with anode and cathode recirculation ejectors. Applied Thermal Engineering, 2018, 132(5): 67-79. [24] Huang D W, Yang J H*, Zhou D J, Miguel A F S, Liu H G. Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method. Communications in Nonlinear Science & Numerical Simulation. 2018, 66(1): 156-166. [25] Wei T T, Zhou D J, Huang D, Ma S X, Zhang H S, Lu Z H. Research on control strategy of integrated gasification humid air turbine cycle. Journal of Engineering for Gas Turbines and Power, 2018, 140(11): 111701. [26] Zhang J L, Yang J H*, Liu H G, Zhou D J. Improved SNR to detect the unknown characteristic frequency by SR. IET Science, Measurement and Technology, 2018, 12(6): 795-801. [27] Huang D, Zhou D J, Zhang H S*, Su M, Weng S L. Dynamic model of saturator based on a global heat and mass transfer coefficient. Journal of Central South University, 2018, 25(5): 1173-1181. [28] Huang D, Chen J W, Zhou D J, Zhang H S*, Su M. Simulation and analysis of humid air turbine cycle based on aeroderivative three-shaft gas turbine. Journal of Central South University, 2018, 25(3): 662-670. [29] Zhou D J, Wei T T, Zhang H S*, Ma S X, Weng S L. A damage evaluation model of turbine blade for gas turbine. Journal of Engineering for Gas Turbines and Power, 2017, 139(9): 092602. [30] 黄地, 周登极, 韦婷婷, 张会生*, 苏明. 燃气轮机工质的热物性计算及分析. 海军工程大学学报, 2017, 29(06): 107-112. [31] 魏芳*, 梁茂宗, 马晶玮, 周登极, 张会生. 基于D-S证据理论的发动机部件性能降级量化融合研究. 燃气涡轮试验与研究, 2017, 30(04): 11-15+22. [32] 周登极*, 皋宽英, 陈梅珊, 张会生. 一种面向测量偏差的传感器故障诊断方法. 热能动力工程, 2017, 32(04): 43-48+137. [33] 周登极,* 张会生, 翁史烈. 变控制线的燃气轮机传感器故障诊断方法. 燃气轮机技术, 2017, 30(01): 1-6. [34] 范满意, 周登极, 侯大立, 张会生*. 基于性能仿真模型的燃驱压缩机组数据调和的方法及应用. 热能动力工程, 2017, 32(01): 43-48+120-121. [35] Zhou D J, Yu Z Q, Zhang H S*, Lu Z H, Weng S L. A novel grey prognostic model based on Markov process and grey incidence analysis for equipment degradation. Energy, 2016, 109: 420-429. [36] 陈梅珊, 陈金伟, 周登极, 张会生*. 基于状态空间的燃气轮机建模与控制优化. 热能动力工程, 2016, 31(02): 27-31+135. [37] 韦婷婷, 周登极*, 李波, 卢迪, 张龙. 燃气轮机燃料预热器的设计及经济性分析. 燃气轮机技术, 2016, 29(04): 21-25. [38] 于子强, 周登极, 张会生*, 翁史烈. 船用燃汽轮机性能降级新型预测模型的建立及应用分析. 船舶工程, 2016, 38(S2): 130-134. [39] 周登极*, 陈梅珊, 张会生, 翁史烈. 一种基于RCM知识库的燃气轮机维护任务逻辑决断方法. 燃气轮机技术, 2015, 28(04): 16-21. [40] 周登极*, 张会生, 苏明. 一种燃气轮机涡轮叶片蠕变损伤评估模型及其应用. 动力工程学报, 2015, 35(12): 964-969. [41] Zhou D J, Zhang H S*, Li Y G, Weng S L. A dynamic RCM analysis method for natural gas compressor station based on diagnostic and prognostic technology. Journal of Engineering for Gas Turbines and Power, 2015, 138(6): 061601. [42] Zhou D J, Zhang H S*, Weng S L. A new gas path fault diagnostic method of gas turbine based on support vector machine. Journal of Engineering for Gas Turbines and Power, 2015, 137(10): 102605. [43] 张蒙, 周登极, 张会生, 苏明. 一种基于动态过程的燃气轮机性能降级诊断方法. 动力工程学报, 2015, 35(10): 805-809. [44] Zhou D J*, Zhang H S, Weng S L. A novel prognostic model of performance degradation trend for power machinery maintenance. Energy, 2014, 78: 740-746. [45] Zhou D J, Mei J J, Chen J W, Zhang H S*, Weng S L. Parametric analysis on hybrid system of solid oxide fuel cell and micro gas turbine with CO2 capture. Journal of Fuel Cell Science and Technology, 2014, 11(5): 051001. [46] 周登极*, 高顺华, 侯大立, 张会生. 燃驱天然气压气站设备以可靠性为中心的维护. 油气储运, 2014, 33(05): 505-509. [47] 高顺华, 侯大立, 周登极*, 张会生, 陈金伟. 一种运行维护阶段的FMECA方法及软件实现. 油气储运, 2014, 33(03): 242-246+251. [48] 贾广博, 周登极, 张会生*. 一种基于控制图的燃气轮机压气机性能评价方法. 机电设备, 2014, 31(02): 19-22. 会议论文： [49] Yi H, Wang G, Geng H, Hao X, Wang W, Zhou D J. Telemetry Data Prediction of Launch Vehicle Attitude Control Engine Using LSTM. 2019 ASME International Mechanical Engineering Congress and Exposition, Salt Lake City, Utah, USA, 2019. [50] Wei T T, Zhou D J, Yao Q B, Zhang H S, Lu Z H. Simulation Model Uncertainty Quantification and Model Calibration for Natural Gas Compressor Units. 2019 ASME International Mechanical Engineering Congress and Exposition, Salt Lake City, Utah, USA, 2019. [51] Wu H, Wang W, Zhou D J, Ma S X, Zhang H S. Distributed Training for Data Driven Models in Power Machinery Online Monitoring. 2019 ASME International Mechanical Engineering Congress and Exposition, Salt Lake City, Utah, USA, 2019. [52] Wang G, Yi H, Zhou D J. A Computer Vision Based Automated Polarity Testing System of Rocket Motor Nozzle. 2019 ASME International Mechanical Engineering Congress and Exposition, Salt Lake City, Utah, USA, 2019. [53] Zhou D J, Wei T T, Ma S X, Zhang H S, Lu Z H, Weng S L. A whole operation life cycle model of gas turbine blades under multi-physics based on variation of blade profile parameters. 2018 ASME International Mechanical Engineering Congress and Exposition, Pittsburgh, PA, USA, 2018. [54] Zhou D J, Wei T T, Ma S X, Huang D, Zhang H S, Lu Z H. Metamodeling-based performance analysis for digital power plant. 2018 ASME Power & Energy Conference & Exhibition, Lake Buena Vista, Florida, USA, 2018. [55] Zhou D J, Ma S X, Chen Y, Wei T T, Zhang H S, Wei F. A gas path fault diagnostic model for gas turbine based on deep belief network with prior information. 2018 IEEE International Conference on Prognostics and Health Management, Seattle, USA, 2018. [56] Zhou D J, Wei T T, Liang M Z, Zhang H S, Weng S L. Reliability assessment in motor-driven compressor units based on D-S evidence theory. 2017 ASME International Mechanical Engineering Congress and Exposition, Tampa, Florida, USA, 2017. [57] Wei T T, Zhou D J, Huang D, Ma S X, Zhang H S, Lu Z H. Research on Control Strategy of Integrated Gasification Humid Air Turbine Cycle. 2017 ASME International Mechanical Engineering Congress and Exposition, Tampa, Florida, USA, 2017. [58] Huang D, Wei T T, Han H C, Zhou D J, Zhang H S. Modeling and simulation of saturator temperature control in humid air turbine cycle. 2017 ASME International Mechanical Engineering Congress and Exposition, Tampa, Florida, USA, 2017. [59] Wei T T, Zhou D J, Chen J W, Cui Y X, Zhang H S. A design parameters prediction of new type gas turbine based on a hybrid GRA-SVM prediction model. ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, Charlotte, North Carolina, USA, 2017. [60] Ma S X, Zhou D J, Zhang H S, Lu Z H. Modeling and optimal operation of a network of energy hubs system with distributed energy resources. ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, Charlotte, North Carolina, USA, 2017. [61] Zhou D J, Wei T T, Zhang H S, Chen M S, Ma S X, Lu Z H. A novel information fusion model based on D-S evidence theory for equipment diagnosis. 2016 ASME International Mechanical Engineering Congress and Exposition, Phoenix, Arizona, USA, 2016. [62] Ma S X, Zhou D J, Zhang H S, Lu Z H. Micro gas turbine/renewable hybrid power system for distributed generation: effects of ambient conditions on control strategy. ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, Seoul, South Korea, 2016. [63] Zhou D J, Chen M S, Zhang H S, Weng S L. A damage evaluation model of turbine blade for gas turbine. ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, Seoul, South Korea, 2016. [64] Ma S X, Zhou D J, Zhang H S. SA-PSO algorithm for gas path diagnostics of gas turbine. 16th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, Honolulu, USA, 2016. [65] Zhang H S, Zhou D J, Huang D, Wang X H. Performance analysis on a compressed humid air energy storage system. 2014 ASME International Mechanical Engineering Congress and Exposition, Montreal, Canada, 2014. [66] Zhou D J, Wang J Y, Zhang H S, Weng S L. A new gas path fault diagnostic method of gas turbine based on support vector machine. 2014 ASME International Mechanical Engineering Congress and Exposition, Montreal, Canada, 2014. [67] Zhou D J, Zhang H S, Weng S L. A performance degradation trend prediction model used for power machinery maintenance optimization. 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Guilin, China, 2013. [68] Zhang H S, Huang D, Zhou D J, Weng S L, Lu Z H. The dynamic modeling and simulation on shell gasifier. 2013 ASME International Mechanical Engineering Congress and Exposition, San Diego, USA, 2013. [69] Zhou D J, Mei J J, Chen J W, Zhang H S, Weng S L. Parametric analysis on hybrid system of solid oxide fuel cell and micro gas turbine with CO2 capture. 2013 ASME international Mechanical Engineering Congress and Exposition, San Diego, USA, 2013.

学术兼职

第十六届《推进技术》青年编委 ASME安全工程与可靠性分析部委员（2017-2021） 2019 ASME International Mechanical Engineering Congress and Exposition, Track Chair 2018 ASME International Mechanical Engineering Congress and Exposition, Topic Chair/Session Chair 十余份期刊审稿人：《Energy》、《Reliability Engineering and System Safety》、《Applied Energy》、《Journal of Natural Gas Science & Engineering》等。

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