刘金福科研成果

基本信息 教育教学 科学研究 论文专著 新建主栏目 基本信息 名称 刘金福，男，汉族，1977年10月出生，哈尔滨工业大学能源科学与工程学院教授、博导。立足国家重大需求，围绕火电、核电、风电、航空、舰船等领域动力系统建模控制、预警诊断、智能维护等需求，长期开展动力系统建模仿真、优化控制、预警诊断、智能维护、以及新能源、能源互联网、综合智慧能源等方面理论及应用研究。承担国家自然科学基金、973计划、国家科技支撑计划、国家科技专项、国家重点研发计划等各类项目50余项，获黑龙江省自然科学一等奖、二等奖等各类奖项15项，授权发明专利近40项，发表SCI论文40余篇，出版科学出版社专著3部。 工作经历 名称 2008.06-2012.12，哈工大能源学院，动力机械及工程，讲师 2011.04-至今， 哈工大能源学院，动力机械及工程，硕士生导师 2012.12-2021.03，哈工大能源学院，动力机械及工程，副教授 2020.07-至今，哈工大能源学院，动力机械及工程，博士生导师 2021.03-至今，哈工大能源学院，动力机械及工程，教授 教育经历 名称 1996.09-2000.07，哈尔滨工业大学，热能动力工程，学士 2000.09-2002.07，哈尔滨工业大学，动力机械及工程，硕士 2002.09-2008.04，哈尔滨工业大学，动力机械及工程，博士 主要任职 名称 1）中国动力工程学会自控专委会委员兼副秘书长，中国电机工程学会热工自动化专委会委员，中国电机工程学会电力机器人专委会委员，中国航天第三专业信息网（中国空天动力联合会）发动机控制技术专委会委员 2）Applied Energy、Energy Conversion and Management、Mechanical Systems and Signal Processing、推进技术等杂志审稿人 讲授课程 名称 研究生课程： 《动力机械现代控制技术》 本科生课程： 《核动力装置智能运行与控制》 《能源互联网与大数据》 《能源互联网原理》 《能源互联网》 《储能系统控制技术》 招生信息 名称 硕、博士招生方向： 1）火电大范围安全高效调频、灵活运行及智能大数据分析； 2）燃气轮机/航空发动机故障早期预警、智能维护及智能控制； 3）大型核电、地下铅铋小堆S-CO2系统、深海铅冷微堆S-CO2系统等核电智能预警诊断及智能自主控制； 4）风、光新能源波动不确定建模及多参数预报； 5）多储能系统集成优化及协调控制； 6）机场、数据中心、园区、城市等场景综合智慧能源系统集成及优化管理。 教学成果 成果名称 指导博士获吴仲华研究生奖1次； 指导硕士获国家奖学金1次、校级优秀硕士论文1次； 指导本科生获百优本科毕业设计1次； 研究领域 名称 围绕火电、核电、风电、航空、舰船等领域动力系统建模控制、预警诊断、智能维护等需求，长期开展动力系统建模仿真、优化控制、预警诊断、智能维护、以及新能源、能源互联网、综合智慧能源等方面理论及应用研究。 具体研究领域包括： 1）火电大范围安全高效调频、灵活运行及智能大数据分析； 2）燃气轮机/航空发动机故障早期预警、智能维护及智能控制； 3）大型核电、地下铅铋小堆S-CO2系统、深海铅冷微堆S-CO2系统等核电智能预警诊断及智能自主控制； 4）风、光新能源波动不确定建模及多参数预报； 5）多储能系统集成优化及协调控制； 6）机场、数据中心、园区、城市等场景综合智慧能源系统集成及优化管理。 主要纵向课题 名称 主要横向项目 名称 主要论文 名称 1. Bai, Mingliang; Zhou, Zhihao; Li, Jingjing; Chen, Yunxiao; Liu, Jinfu; Zhao, Xinyu; Yu, Daren. Deep graph gated recurrent unit network-based spatial-temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial-temporal probabilistic forecast of photovoltaic power. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 240:122072 2. Chen, Yunxiao; Bai, Mingliang; Zhang, Yilan; Liu, Jinfu; Yu, Daren. Proactively selection of input variables based on information gain factors for deep learning models in short-term solar irradiance forecasting. ENERGY, 2023, 284: 129261 3. Bai, Mingliang; Zhou, Zhihao; Chen, Yunxiao; Liu, Jinfu; Yu, Daren. Accurate four-hour-ahead probabilistic forecast of photovoltaic power generation based on multiple meteorological variables-aided intelligent optimization of numeric weather prediction data. EARTH SCIENCE INFORMATICS, 2023 4. Li, Qiang; Wei, Fanchao; Zhou, Yongcheng; Li, Jiajia; Zhou, Guowen; Wang, Zhonghao; Liu, Jinfu; Yan, Peigang; Yu, Daren. A scheduling framework for VPP considering multiple uncertainties and flexible resources. ENERGY, 2023, 282: 128385 5. Chen, Yunxiao; Bai, Mingliang; Zhang, Yilan; Liu, Jinfu; Yu, Daren. Multivariable space-time correction for wind speed in numerical weather prediction (NWP) based on ConvLSTM and the prediction of probability interval. EARTH SCIENCE INFORMATICS, 2023, 16(3): 1953-1974 6. Long, Zhenhua; Zhou, Zhihao; Qin, Zizhen; Luo, Jing; Bai, Mingliang; Liu, Jinfu; Yu, Daren. Research on active modulation of gas turbine cooling air flow. APPLIED THERMAL ENGINEERING, 2023, 230: 120874 7. Chen, Yunxiao; Bai, Mingliang; Zhang, Yilan; Liu, Jinfu; Yu, Daren. Error revision during morning period for deep learning and multi-variable historical data-based day-ahead solar irradiance forecast: towards a more accurate daytime forecast. EARTH SCIENCE INFORMATICS, 2023 8. Li, Jiajia; Li, Xingshuo; Yan, Peigang; Zhou, Guowen; Liu, Jinfu; Yu, Daren. Thermodynamics, flexibility and techno-economics assessment of a novel integration of coal-fired combined heating and power generation unit and compressed air energy storage. APPLIED ENERGY, 2023, 339: 120924 9. Long, Zhenhua; Bai, Mingliang; Ren, Minghao; Liu, Jinfu; Yu, Daren. Fault detection and isolation of aeroengine combustion chamber based on unscented Kalman filter method fusing artificial neural network. ENERGY, 2023, 272: 127068 10. Bai, Mingliang; Liu, Jinfu; Long, Zhenhua; Luo, Jing; Yu, Daren. A comparative study on class-imbalanced gas turbine fault diagnosis. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2023, 237(3): 672-700 11. 李佳佳,李兴朔,魏凡超,颜培刚,刘金福*,于达仁.耦合火电机组的新型压缩空气储能系统技术经济性评估研究.中国电机工程学报,2023,43(23):9171-9183. 12. 李佳佳,李兴朔,周国文,颜培刚,刘金福*,于达仁.先进储能型燃煤热电联产系统热力特性及灵活性分析.动力工程学报,2023,43(02):205-213. 13. Ma, Yujia; Liu, Jinfu; Zhu, Linhai; Li, Qi; Guo, Yaqiong; Liu, Huanpeng; Yu, Daren. Multi-objective performance optimization and control for gas turbine Part-load operation Energy-saving and NOx emission reduction. APPLIED ENERGY, 2022, 320: 119296 14. Bai, Mingliang; Chen, Yunxiao; Zhao, Xinyu; Liu, Jinfu; Yu, Daren. Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 202: 117335 15. Zhu, Linhai; Liu Jinfu; Ma, Yujia; Bai, Mingliang; Zhou, Weixing; Yu, Daren. Gas turbine system identification using a bilayer equilibrium manifold expansion model. AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2022, 94(8): 1263-1274 16. Zhou, Guowen; Bai, Mingliang; Zhao, Xinyu; Li, Jiajia; Li, Qiang; Liu, Jinfu; Yu, Daren. Study on the distribution characteristics and uncertainty of multiple energy load patterns for building group to enhance demand side management. ENERGY AND BUILDINGS, 2022, 263: 112038 17. Ma, Yujia; Liu, Jinfu; Zhu, Linhai; Li, Qi; Liu, Huanpeng; Yu, Daren. Accommodation of Multishaft Gas Turbine Switching Control Gain Tuning Problem to Inlet Guide Vane Position. JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2022, 144(3): 31014 18. 朱麟海,冯春达,刘金福,于达仁.基于滤波阵列的燃气轮机气路故障诊断研究.热能动力工程,2022,37(12):174-180. 19. Ma, Yujia; Liu, Jinfu; Li, Qi; Liu, Huanpeng; Yu, Daren. Three-Spool Marine Gas Turbine Multi-Objective Switching Control System Design and Optimization. IFAC PAPERSONLINE, 2021, 54(10): 388-393 20. Wan, Jie; Fu, Jun-Feng; Liu, Jin-Fu; Shi, Jia-Kui; Jin, Cheng-Gang; Zhang, Huai-Peng. Class imbalance problem in short-term solar flare prediction. RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2021, 21(9): 237 21. Bai, Mingliang; Yang, Xusheng; Liu, Jinfu; Liu, Jiao; Yu, Daren. Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers. APPLIED ENERGY, 2021, 302: 117509 22. Zhao, Xinyu; Bai, Mingliang; Yang, Xusheng; Liu, Jinfu; Yu, Daren; Chang, Juntao. Short-term probabilistic predictions of wind multi-parameter based on one-dimensional convolutional neural network with attention mechanism and multivariate copula distribution estimation. ENERGY, 2021, 234: 121306 23. Yang, Xusheng; Bai, Mingliang; Liu, Jinfu; Liu, Jiao; Yu, Daren. Gas path fault diagnosis for gas turbine group based on deep transfer learning. MEASUREMENT, 2021, 181: 109631 24. Li, Xingshuo; Liu, Jinfu; Bai, Mingliang; Li, Jiajia; Li, Xianling; Yan, Peigang; Yu, Daren. An LSTM based method for stage performance degradation early warning with consideration of time-series information. ENERGY, 2021, 226: 120398 25. Liu, Jiao; Liu, Jinfu; Yu, Daren; Wang, Zhongqi; Yan, Weizhong; Pecht, Michael. Early fault detection of gas turbine hot components under different ambient and operating conditions. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2021, 235(13): 1898-1910 26. Li, Jiajia; Liu, Jinfu; Yan, Peigang; Li, Xingshuo; Zhou, Guowen; Yu, Daren. Operation Optimization of Integrated Energy System under a Renewable Energy Dominated Future Scene Considering Both Independence and Benefit: A Review. ENERGIES, 2021, 14(4): 1103 27. Bai, Mingliang; Liu, Jinfu; Ma, Yujia; Zhao, Xinyu; Long, Zhenhua; Yu, Daren. Long Short-Term Memory Network-Based Normal Pattern Group for Fault Detection of Three-Shaft Marine Gas Turbine. ENERGIES, 2021, 14(1): 13 28. Liu, Jinfu; Bai, Mingliang; Jiang, Na; Cheng, Ran; Li, Xianling; Wang, Yifang; Yu, Daren. Interclass Interference Suppression in Multi-Class Problems. APPLIED SCIENCES-BASEL, 2021, 11(1): 450 29. Liu, Jinfu; Long, Zhenhua; Bai, Mingliang; Zhu, Linhai; Yu, Daren. A Comparative Study on Fault Detection Methods for Gas Turbine Combustion Systems. ENERGIES, 2021, 14(2): 389 30. 朱麟海,程然,刘金福*,周伟星.基于混合算法的燃气轮机多传感器故障诊断.热能动力工程,2021,36(09):209-213. 31. 白明亮,张冬雪,刘金福*,刘娇,于达仁.基于深度自编码器和支持向量数据描述的燃气轮机高温部件异常检测.发电技术,2021,42(04):422-430. 32. 李兴朔,刘金福*,白明亮,李献领,刘东航,颜培刚,于达仁.基于非线性有源自回归模型的船用凝汽器故障早期预警.推进技术,2021,42(08):1708-1715. 33. Wan, Jie; Wang, Yanjia; Ren, Guorui; Liu, Jinfu; Wang, Wei; Yu, Jilai. An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load. ENERGIES, 2020, 13(24): 6503 34. Li, Xingshuo; Liu, Jinfu; Li, Jiajia; Li, Xianling; Yan, Peigang; Yu, Daren. A Stacked Denoising Sparse Autoencoder Based Fault Early Warning Method for Feedwater Heater Performance Degradation. ENERGIES, 2020, 13(22): 6061 35. Liu, Jinfu; Ma, Yujia; Zhu, Linhai; Zhao, Hui; Liu, Huanpeng; Yu, Daren. Improved Gain Scheduling Control and Its Application to Aero-Engine LPV Synthesis. ENERGIES, 2020, 13(22): 5967 36. Liu, Jinfu; Bai, Mingliang; Long, Zhenhua; Liu, Jiao; Ma, Yujia; Yu, Daren. Early Fault Detection of Gas Turbine Hot Components Based on Exhaust Gas Temperature Profile Continuous Distribution Estimation. ENERGIES, 2020, 13(22): 5950 37. Zhu, Linhai; Liu, Jinfu; Ma, Yujia; Zhou, Weixing; Yu, Daren. A Coupling Diagnosis Method for Sensor Faults Detection, Isolation and Estimation of Gas Turbine Engines. ENERGIES, 2020, 13(18): 4976 38. Zhu, Linhai; Liu, Jinfu; Ma, Yujia; Zhou, Weixing; Yu, Daren. A Corrected Equilibrium Manifold Expansion Model for Gas Turbine System Simulation and Control. ENERGIES, 2020, 13(18): 4904 39. Bai, Mingliang; Liu, Jinfu; Chai, Jinhua; Zhao, Xinyu; Yu, Daren. Anomaly detection of gas turbines based on normal pattern extraction. APPLIED THERMAL ENGINEERING, 2020, 166: 114664 40. Liu, Jinfu; Bai, Mingliang; Jiang, Na; Yu, Daren. Structural risk minimization of rough set-based classifier. SOFT COMPUTING, 2020, 24(3): 2049-2066 41. Ren, Guorui; Wan, Jie; Liu, Jinfu; Yu, Daren. Spatial and temporal correlation analysis of wind power between different provinces in China. ENERGY, 2020, 191: 116514 42. Li, Qiang; Yan, Peigang; Liu, Jinfu; Shi, Yuanhao; Yu, Daren. Prediction of Pollution State of Heating Surface in Coal-Fired Utility Boilers. IEEE ACCESS, 2020, 8: 206132-206145 43. Ren, Guorui; Wan, Jie; Liu, Jinfu; Yu, Daren. Assessing temporal variability of wind resources in China and the spatial correlation of wind power in the selected regions. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2020, 12(1): 13302 44. Zhao, Xinyu; Jiang, Na; Liu, Jinfu; Yu, Daren; Chang, Juntao. Short-term average wind speed and turbulent standard deviation forecasts based on one-dimensional convolutional neural network and the integrate method for probabilistic framework. ENERGY CONVERSION AND MANAGEMENT, 2020, 203: 112239 45. Liu, Jinfu; Bai, Mingliang; Jiang, Na; Yu, Daren. A novel measure of attribute significance with complexity weight. APPLIED SOFT COMPUTING, 2019, 82: 105543 46. Wan, Jie; Liu, Jinfu; Ren, Guorui; Guo, Yufeng; Hao, Wenbo; Yu, Jilai; Yu, Daren. A universal power-law model for wind speed uncertainty. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22: S10347-S10359 47. Ren, Guorui; Wan, Jie; Liu, Jinfu; Yu, Daren. Spatial and temporal assessments of complementarity for renewable energy resources in China. ENERGY, 2019, 177: 262-275 48. Ren, Guorui; Wan, Jie; Liu, Jinfu; Yu, Daren. Characterization of wind resource in China from a new perspective. ENERGY, 2019, 167: 994-1010 49. Liu, Jiao; Liu, Jinfu; Yu, Daren; Kang, Myeongsu; Yan, Weizhong; Wang, Zhongqi; Pecht, Michael G.. Fault Detection for Gas Turbine Hot Components Based on a Convolutional Neural Network. ENERGIES, 2018, 11(8): 2149 50. Ren, Guorui; Liu, Jinfu; Wan, Jie; Li, Fei; Guo, Yufeng; Yu, Daren. The analysis of turbulence intensity based on wind speed data in onshore wind farms. RENEWABLE ENERGY, 2018, 123: 756-766 51. Zhao, Xinyu; Liu, Jinfu; Yu, Daren; Chang, Juntao. One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data. ENERGY CONVERSION AND MANAGEMENT, 2018, 164: 560-569 52. Ren, Guorui; Wan, Jie; Liu, Jinfu; Yu, Daren; Soder, Lennart. Analysis of wind power intermittency based on historical wind power data. ENERGY, 2018, 150: 482-492 53. Liu, JinFu; Zhu, LinHai; Ma, YuJia; Liu, Jiao; Zhou, WeiXing; Yu, DaRen. Anomaly detection of hot components in gas turbine based on frequent pattern extraction. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2018, 61(4): 567-586 54. Huang, Xin; Wang, Huaning; Xu, Long; Liu, Jinfu; Li, Rong; Dai, Xinghua. Deep Learning Based Solar Flare Forecasting Model. I. Results for Line-of-sight Magnetograms. ASTROPHYSICAL JOURNAL, 2018, 856(1): 7 55. Ren, Guorui; Liu, Jinfu; Wan, Jie; Guo, Yufeng; Yu, Daren. Overview of wind power intermittency: Impacts, measurements, and mitigation solutions. APPLIED ENERGY, 2017, 204: 47-65 56. Liu, Jin-Fu; Li, Fei; Wan, Jie; Yu, Da-Ren. Short-term solar flare prediction using multi-model integration method. RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2017, 17(4): 34 57. Liu Jinfu; Liu Jiao; Wan Jie; Wang Zhongqi; Yu Daren. Early Fault Detection of Hot Components in Gas Turbines. JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2017, 139(2): 21201 58. Gao, Yansong; Sun, Jia; Li, Jianhua; Wang, Fengliang; Wan, Jie; Liu, Jinfu. Research on Vibration Fault Diagnosis Strategy for Commonly Supported Rotor of Turbogenerator. PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017: 305-310 59. Ren, Guorui; Liu, Jinfu; Wan, Jie; Guo, Yufeng; Yu, Daren; Liu, Jizhen. Measurement and statistical analysis of wind speed intermittency. ENERGY, 2017, 118: 632-643 60. Zhou, Guowen; Li, Fei; Wang, Fengliang; Li, Xingshuo; Wan, Jie; Liu, Jinfu; Yu, Daren. Performance Monitoring of Steam Turbine Regenerative System Based on Extreme Learning Machine. 2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017: 473-479 61. Zhu, Linhai; Sun, Jianguo; Liu, Jinfu; Liu, Jiao; Zhou, Weixin; Yu, Daren; Li, Fei; Wan, Jie. Frequent Pattern Extraction based on Data and Prior knowledge Fusion in Gas Turbine Combustion System. 2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017: 138-145 62. Liu, Jinfu; Ren, Guorui; Wan, Jie; Guo, Yufeng; Yu, Daren. Variogram time-series analysis of wind speed. RENEWABLE ENERGY, 2016, 99: 483-491 63. Wan, Jie; Ren, Guorui; Liu, Jinfu; Hu, Qinghua; Yu, Daren. Ultra-short-term wind speed prediction based on multi-scale predictability analysis. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2016, 19(2): 741-755 64. Wan, Jie; Liu, Jinfu; Ren, Guorui; Guo, Yufeng; Yu, Daren; Hu, Qinghua. Day-Ahead Prediction of Wind Speed with Deep Feature Learning. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2016, 30(5): 1650011 65. Li, Xingshuo; Zou, Yueming; Wan, Jie; Cheng, Jiangnan; Liu, Jinfu; Yan, Peigang; Yu, Daren. Study on Failure Characteristics and Solutions for Large Turbine Load Oscillation. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016: 1321-1325 66. Zhao, Xinyu; Wan, Jie; Ren, Guorui; Liu, Jinfu; Chang, Juntao; Yu, Daren. Multi-scale DBNs Regression Model and its Application in Wind Speed Forecasting. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016: 1355-1359 67. Hu, Qinghua; Su, Pengyu; Yu, Daren; Liu, Jinfu. Pattern-Based Wind Speed Prediction Based on Generalized Principal Component Analysis. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5(3): 866-874 68. Feng, Yongxin; Cai, Sun; Song, Chongming; Wei, Sijia; Liu, Jinfu; Yu, Daren. The research of the jam fault features and diagnostic methods of the slide valve oil motive based on DEH data. ENERGY DEVELOPMENT, PTS 1-4, 2014, 860-863: 1791 + 69. Yu, Daren; He, Huixin; He, Huixia; Zhang, Xiaoxian; Liu, Jinfu. The Research of Visualization Data Mining In Industrial Data. MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING, 2013, 274: 545 + 70. An, Shuang; Hu, Qinghua; Yu, Daren; Liu, Jinfu. Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets. FUNDAMENTA INFORMATICAE, 2012, 115(2-3): 189-202 71. Zhao, Hui; Liu, Jinfu; Yu, Daren. Approximate Nonlinear Modeling and Feedback Linearization Control for Aeroengines. JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2011, 133(11): 111601 72. Yu, Daren; Yu, Xiao; Hu, Qinghua; Liu, Jinfu; Wu, Anqi. Dynamic time warping constraint learning for large margin nearest neighbor classification. INFORMATION SCIENCES, 2011, 181(13): 2787-2796 73. Hu QingHua; Guo MaoZu; Yu DaRen; Liu JinFu. Information entropy for ordinal classification. SCIENCE CHINA-INFORMATION SCIENCES, 2010, 53(6): 1188-1200 74. Yu, Daren; Duan, Yanfeng; Liu, Jinfu; Liu, Zhansheng; Hu, Qinghua. Experimental Study on Fault Caused by Partial Arc Steam Forces and Its Economic Solution. JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2010, 132(6): 64501 75. Hu, Qinghua; Zhu, Pengfei; Liu, Jinfu; Yang, Yongbin; Yu, Daren. Feature Selection via Maximizing Fuzzy Dependency. FUNDAMENTA INFORMATICAE, 2010, 98(2-3): 167-181 76. Hu, Qinghua; Che, Xunjian; Liu, Jinfu. Feature Selection via Maximizing Neighborhood Soft Margin. ADVANCES IN MACHINE LEARNING, PROCEEDINGS, 2009, 5828: 150-161 77. Liu, Jinfu; Hu, Qinghua; Yu, Daren. A comparative study on rough set based class imbalance learning. KNOWLEDGE-BASED SYSTEMS, 2008, 21(8): 753-763 78. Hu, Qinghua; Yu, Daren; Liu, Jinfu; Wu, Congxin. Neighborhood rough set based heterogeneous feature subset selection. INFORMATION SCIENCES, 2008, 178(18): 3577-3594 79. Hu, Qinghua; Liu, Jinfu; Yu, Daren. Mixed feature selection based on granulation and approximation. KNOWLEDGE-BASED SYSTEMS, 2008, 21(4): 294-304 80. Liu, Jinfu; Hu, Qinghua; Yu, Daren. A weighted rough set based method developed for class imbalance learning. INFORMATION SCIENCES, 2008, 178(4): 1235-1256 81. Hu, Qinghua; Liu, Jinfu; Yu, Daren. Stability analysis on rough set based feature evaluation. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, 2008, 5009: 88-96 82. Liu, Jinfu; Hu, Qinghua; Yu, Daren. Weighted rough set learning: Towards a subjective approach. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2007, 4426: 696 + 83. Liu, Jinfu; Yu, Daren. A weighted rough set approach for cost-sensitive learning. ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS, 2007, 4482: 355 +