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[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.