论文著作

代表性论文

智能故障诊断与容错控制:

 

Han Kezhen, Feng Jian*, Yao Yu. An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems[J], Journal of the Franklin Institute, 2017, 354(13): 5280-5901.(SCI、EI检索)
Han Kezhen, Feng Jian*, Cui Xiaohong. Fault-tolerant optimized tracking control for unknown discrete-time linear systems using a combined reinforcement learning and residual compensation methodology[J], International Journal of Systems Science, 2017, 48(13): 2811-2825.(SCI、EI检索)
Feng Jian, Han Kezhen, Zhang Huaguang, Yao Yu. Identification-oriented robust finite memory fault detection filter design for networked industrial process with fading channel communication[J], Neurocomputing, 2017, 267: 624-634.(SCI、EI检索)
Feng Jian, Han Kezhen, Zhao Qing. Memory scheduling robust H infinity filter based fault detection for discrete-time polytopic uncertain systems over fading channels[J], IET Control Theory and Applications, 2017, 11(14): 2204-2212. (SCI、EI检索)
Han Kezhen, Feng Jian*, Robust periodically time varying horizon finite memory fault detection filter design for polytopic uncertain discrete-time systems[J], International Journal of Robust and Nonlinear Control, In Press. (SCI、EI检索)
  1. Feng Jian, Li Ning. Observer-based event-driven fault-tolerant control for a class of system with state-dependent uncertainties[J], International Journal of Control, 2017, 90(5): 950-960. (SCI、EI检索)
  1. Wang Jian, Feng Jian*, Han Zhiyan. Discriminative feature selection based on imbalance SVDD for fault detection of semiconductor manufacturing processes[J], Journal of Circuits Systems and Computers, 2016, 25(11): 165014301-165014321. (SCI、EI检索)
  1. Wang Shenquan, Feng Jian*, Jiang Yulian. Input-output method to fault detection for discrete-time fuzzy networked systems with time-varying delay and multiple packet losses[J], International Journal of Systems Science, 2016, 47(7): 1495-1513. (SCI、EI检索)
  1. Feng Jian, Wang Jian, Zhang Huaguang, Han Zhiyan, Fault diagnosis method of joint fisher discriminant analysis based on local and global manifold learning and its kernel version[J], IEEE Transactions on Automation Science and Engineering, 2016, 13(1):122-133.(SCI、EI检索)
  1. Han Kezhen, Feng Jian*, Chang Xiaoheng. Reduced-order partially mode-dependent energy-to-peak filter design for discrete-time Markov jump systems subject to quantizer faults and state-dependent noises[J], Circuits Systems and Signal Processing, 2015, 34(1): 77-103. (SCI、EI检索)
  1. Wang Jian, Feng Jian*, Han Zhiyan. Fault detection for the class imbalance problem in semiconductor manufacturing processes[J], Journal of Circuits Systems and Computers, 2014, 23(4): 145004901-145004920. (SCI、EI检索)
  1. Wang Shenquan, Feng Jian*, Zhang Huaguang. Robust fault tolerant control for a class of networked control systems with state delay and stochastic actuator failures[J], International Journal of Adaptive Control and Signal Processing, 2014, 28(9):798-811.(SCI、EI检索)
  1. Feng Jian, Wang Shenquan, Zhao Qing. Closed-loop design of fault detection for networked non-linear systems with mixed delays and packet losses[J], IET Control Theory and Applications, 2013, 7(6): 858-868.(SCI、EI检索)
  1. Ma Dazhong, Zhang Huaguang, Wang Zhanshan, Feng Jian. Fault tolerant synchronization of chaotic systems based on T-S fuzzy model with fuzzy sampled-data controller[J], CHINESE PHYSICS B, 2010, 19(5): 0505061-05050611.)(SCI、EI检索)
  1. 李宁,冯健*. 范数不变离散化的采样控制系统的故障估计[J],东北大学学报(自然科学版),2013,34(7): 913-916.(EI检索)
  1. 王健,冯健*,韩志艳. 基于流形学习的局部保持PCA算法在故障检测中的应用[J],控制与决策,2013,28(5): 683-687. (EI检索)
  1. 冯健,张化光,伦淑娴,王占山. 基于ANFIS非线性观测器的连续小波变换故障检测[J],东北大学学报(自然科学版),2003,24(6): 519-522.(EI检索)
  1. Han Kezhen, Feng Jian*. A combined data-driven robust-estimator and parameter-learning methodology for sensor fault compensation[C], Proceedings of the 28th Chinese Control and Decision Conference, Yinchuan, 2016.5, 6810-6815. (EI、ISTP检索)
  1. Li Ning, Feng Jian*. Fault estimation for time-varying control systems with aperiodic sample[C], Proceedings of the 26th Chinese Control and Decision Conference, Changsha, 2014.5, 2897-2901. (EI、ISTP检索)
  1. Wang Shenquan, Feng Jian*. Observer-based robust fault detection for nonuniform sampling systems[C], Proceedings of the Chinese Control Conference, Xian, 2013.7, 6066-6070. (EI、ISTP检索)
  1. Feng Jian, Zhang Huaguang, Zhang Tieyan, Liu Derong. Detection algorithm and application based on work status evaluator[C], Proceedings of the 6th World Congress on Control and Automation, Dalian, 2006.6, 5479-5482.(EI检索)

复杂系统分析与智能控制:

 

Feng Jian, Li Ning. Event-driven H∞ control for state-dependent uncertainty systems in the sense of ISS[J], IET Control Theory and Applications, 2017, 11(7): 962-972. (SCI、EI检索)

  1. Feng Jian, Li Ning. Design of observer-based event-driven controllers for a class of state-dependent nonlinear systems[J], Journal of The Franklin Institute, 2016, 353(7): 1573-1593. (SCI、EI检索)
  1. Li, Ning, Feng Jian*. Quantized feedback adaptive reliable H∞ control for linear time-varying delayed systems[J], Circuits Systems and Signal Processing, 2016, 35(3): 851-874. (SCI、EI检索)
  1. Li Ning, Feng Jian*. The design of reliable adaptive controllers for time-varying delayed systems based on improved H∞ performance indexes[J], Journal of The Franklin Institute, 2015, 352(3): 930-951. (SCI、EI检索)
  1. Wang Shenquan, Feng Jian*, Zhao Qing, Jiang Yulian. Observer-based networked control with probabilistic interval input delays[J], International Journal of Control, Automation and Systems, 2014, 12(4): 904-914. (SCI、EI检索)
  1. Wang Shenquan, Feng Jian*, Zhao Qing. Novel delay-distribution-dependent stability analysis for continuous-time recurrent neural networks with stochastic delay[J], CHINESE PHYSICS B, 2012, 21(12): 12070101-12070107. (SCI、EI检索)
  1. Feng Jian, Wang Shenquan, Wang Zhanshan. Stochastic synchronization in an array of neural networks with hybrid nonlinear coupling[J], Neurocomputing, 2011, 74(18): 3808-3815. (SCI、EI检索)
  1. Zheng Chengde, Jing Xiaoting, Wang Zhanshan, Feng Jian. Further results for robust stability of cellular neural networks with linear fractional uncertainty[J], Communications in Nonlinear Science and Numerical Simulation, 2010, 15: 3046-3057. (SCI、EI检索)
  1. Feng Jian, Wang Shenquan. Reliable fuzzy control for a class of nonlinear networked control systems with time delay[J], ACTA AUTOMATICA SINICA, 2012, 38(7): 1091-1099.(EI检索)
  1. Feng Jian, Gong Dawei. Global synchronization in an array of hybrid coupling neural networks with multiple time-delay components. Lecture Notes in Computer Science[J], 2010, 6215: 41-48.(EI、ISTP检索)
  1. Feng Jian, Li Ning, Wang Shenquan. Absolute stability for lure systems with time-varying delay and disturbance[C], Proceedings of the 25th Chinese Control and Decision Conference, Guiyan, 2013.5, 5067-5070.(EI、ISTP检索)
  1. Feng Jian, Ma Dazhong, Zhang Huaguang. Improved delay-dependent stabilization conditions of Takagi-Sugeno fuzzy systems with state and input delays[C], proceedings of 2010 IEEE International Conference on Networking, Sensing and Control, Chicago, 2010.4, 414-418. (EI、ISTP检索)

数据分析与信息处理:

 

  1. Han Kezhen, Feng Jian*, A novel two-stage strategy for robust H-infinity filter design of uncertain  discrete-time  systems[J], Journal of the Franklin Institute, 2016, 353(13): 3040-3056. (SCI、EI检索)
  1. Han Kezhen, Feng Jian*, Improved scalar parameters approach to design robust H-infinity filter for uncertain discrete-time linear systems[J], Signal Processing, 2015, 113: 113-123.(SCI、EI检索)
  1. Feng Jian, Han Kezhan. Robust full and reduced-order energy-to-peak filtering for discrete-time uncertain linear systems[J], Signal Processing, 2015, 108: 183-194. (SCI、EI检索)
  1. Liu Jinhai, Feng Jian*, Tan Liang, Ma Dazhong. An algorithm of auto-update threshold for singularity analysis of pipeline pressure[J], Mathematical Problems in Engineering, 2013,49542501-49542507. (SCI、EI检索)
  1. 刘金海,张化光,冯健. 基于视神经网络的混沌时间序列奇异信号实时检测算法[J],物理学报,2010,59(7):4472-4479. (SCI检索)
Ren Yan, Qu Fuming, Liu Jinhai, Feng Jian, Li Xiaodong. A universal modeling approach for wind turbine condition monitoring based on SCADA data[C], Proceedings of IEEE 6th Data Driven Control and Learning Systems Conference, Chongqing, 2017.5, 265-269. (EI、ISTP检索)
  1. 冯健,张峻峰,王宏阳,马瑞泽,基于有限元仿真和数据拟合的管道缺陷量化分析方法[J],无损检测,2014,36(2): 5-9.
  1. 马大中,王占山,冯健,张化光. 带有无穷分布时滞的不确定系统的鲁棒H1滤波器设计[J],控制理论与应用,2010,27(2): 138-142. (EI检索)
  1. 刘金海,冯健,杨东升. 一种改进的Lyapunov指数谱算法及应用研究[J],系统仿真学报,2009,21(16): 5124-5126.
  1. 冯健,付兴龙,刘浩达,李訸. 非线性盲源分离算法研究[J],中国科技论文在线,2009,4(1): 5-10.

冯健,张化光. 基于小波消噪和盲源分离的信号奇异点检测方法[J],控制与决策,2007,22(9): 1035-1038. (EI检索)

  1. Feng Jian, Zhang Huaguang, Chai Tianyou, Yue Heng. Adaptive Natural gradient algorithm for blind convolutive source separation[J], Lecture Notes in Computer Science, 2007, 4493: 715-721. (EI、ISTP检索)
  1. 冯健,宋晓龙. 基于虚拟仪器技术的分布式采集系统设计. 仪器仪表学报, 2007, 28(4): 619-621.
  1. 冯健,张化光,刘金海,孙凯,任河. 分布式网络化数据采集装置及其采集方法[J],仪器仪表学报,2006,27(6): 1296-1297. (EI检索)
  1. 冯健,张化光. 高速实时数据采集装置及其测量方法[J],仪器仪表学报,2005,26(8): 256-257. (EI检索)
  1. Feng Jian, Dong Liang, Liu Jinhai. Singularity detection method of chaotic time series using wavelet multi-resolution analysis[C], Proceedings of 2010 International Conference on Industrial and Information System, Dalian, 2010.7, 83-86. (EI检索)
  1. Liu Jinhai, Feng Jian, Guan Fusheng. Research on RBF neural network method of singularity detection in chaotic time series[C], Proceedings of the 2010 2nd International Conference on Signal Processing Systems, 2010, 2: 253-258. (EI检索)

工业装备智能诊断与无损检测:

 

Feng Jian, Li Fangming, Lu Senxiang, Liu Jinhai, Ma Dazhong. Injurious or noninjurious defect identification from MFL images in pipeline inspection using convolutional neural network[J], IEEE Transactions on Instrumentation and Measurement, 2017, 66(7): 1883-1892. (SCI、EI检索)
Liu Jinhai, Fu Mingrui, Liu Feilong, Feng Jian.Window feature based 2-stage extraction of defect regions using magnetic flux leakage (MFL) measurements[J], IEEE Transactions on Instrumentation and Measurement, 2017, In Press.(SCI、EI检索)
  1. Feng Jian, Lu Senxiang, Liu Jinhai, Li Fangming. A sensor liftoff modification method of magnetic flux leakage signal for defect profile estimation[J], IEEE Transactions on Magnetics, 2017, 53(7): Article Sequence Number 6201813. (SCI、EI检索)
  1. Lu Senxiang, Feng Jian*, Li Fangming, Liu Jinhai. Precise inversion for the reconstruction of arbitrary defect profiles considering velocity effect in magnetic flux leakage testing[J], IEEE Transactions on Magnetics, 2017, 53(4): Article Sequence Number 6201012. (SCI、EI检索)
  1. Feng Jian, Li Fangming, Lu Senxiang, Liu Jinhai. Fast reconstruction of defect profiles from magnetic flux leakage measurements using a RBFNN based error adjustment methodology[J], IET Science, Measurement & Technology, 2017, 11(3): 262-269. (SCI、EI检索)
  1. Li Fangming, Feng Jian*, Liu Jinhai, Lu Senxiang. Defect profile reconstruction from MFL signals based on a specially designed genetic tabu search algorithm[J], Insight-Non-destructive Testing and Condition Monitoring, 2016, 58(7): 380-387. (SCI、EI检索)
  1. Feng Jian, Zhang Junfeng, Lu Senxiang, Wang Hongyang, Ma Ruize. Three-axis magnetic flux leakage in-line inspection simulation based on finite-element analysis[J], CHINESE PHYSICS B, 2013, 22(1): 01810301-01810306. (SCI、EI检索)
  1. 刘金海,张化光,冯健. 输油管道压力时间序列混沌特性研究[J],物理学报,2008,57(11): 6868-6877. (SCI、EI检索)
  1. Wang Qing, Ba Dechun, Feng Jian. Diagnosis of the Argon Plasma in a PECVD Coating Machine[J]. Plasma Science and Technology, 2008, 10(6): 727-730. (SCI检索)
  1. Feng Jian, Zhang Huaguang. Algorithm of pipeline leak detection based on discrete incremental clustering method[J], Lecture Notes in Artificial Intelligence, 2006, 4114: 602-607. (SCI、EI、ISTP检索)
Li Fangming, Feng Jian*, Lu Senxiang, Liu Jinhai, Yao Yu. Convolution neural network for classification of magnetic flux leakage response segments[C], Proceedings of IEEE 6th Data Driven Control and Learning Systems Conference, Chongqing, 2017.5, 152-155. (EI、ISTP检索)
Lu Senxiang, Feng Jian*, Li Fangming, Liu Jinhai, Zhang Huaguang. Extracting defect signal from the MFL signal of seamless pipeline[C], Proceedings of the 29th Chinese Control and Decision Conference, Chongqing, 2017.5, 5301-5304. (EI、ISTP检索)
  1. 褚恩辉,黄亮,张化光,冯健. 一种双辅助谐振极型三相软开关逆变器的研究[J],中国电机工程学报,2015,35(15):3912-3920. (EI检索)
  1. 刘金海,冯健,马大中. 流体管道压力数据的高精度实时滤波方法[J],东北大学学报(自然科学版),2013,34(1): 9-12. (EI检索)
  1. Feng Jian, Zhu Han. Wireless communication system design in pipeline monitoring[J], International Journal of Advancements in Computing Technology, 2012, 4(14): 251-259. (EI检索)
刘金海,冯健. 基于模糊最小-最大神经网络的输油管道泄漏故障诊断方法[J],南京航空航天学报,2012, 43(5): 199-202. (EI检索)
冯健,李典阳,张超. 基于电力FMCN的电力系统输电线路跳闸故障诊断方法[J],中南大学学报,2011, 42(9): 883-887. (EI检索)
刘金海,冯健. 基于模糊分类的流体管道泄漏故障智能检测方法研究[J],仪器仪表学报,2011,32(1): 26-32. (EI检索)
  1. 冯健,曹建刚. 基于Hilbert变换和小波包能量分析的转子断条故障诊断[J],东北大学学报(自然科学版),2010,31(12): 1701-1704. (EI检索)
刘金海,张化光,冯健. 基于压力时间序列的输油管道在线泄漏故障诊断算法[J],东北大学学报,2009, 30(3): 321-324. (EI检索)
冯健,刘金海,陶宏生,季策. 基于LabVIEW的管道泄漏故障诊断系统软件设计[J]. 仪器仪表学报,2008, 29(4): 395-398. (EI检索)
Liu Jinhai, Zhang Huaguang, Feng Jian. A new fault detection and diagnosis method for oil pipeline based on rough set and neural network[J], Lecture Notes in Computer Science, 2007, 4493: 561-569. (EI、ISTP检索)
刘金海,张化光,冯健. 长输油管线实时故障诊断与定位系统设计[J],仪器仪表学报, 2006, 27(6):286-287. (EI检索)
  1. Feng Jian, Zhang Huaguang. Diagnosis and localization of pipeline leak based on fuzzy decision-making[J], ACTA AUTOMATICA SINICA, 2005, 31(3): 484-490. (EI检索)
伦淑娴,张化光,冯健. 自适应模糊神经网络系统在管道泄漏检测中应用[J],石油学报,2004,25(4): 13-16. (EI检索)
冯健,张化光. 管道泄漏计算机在线检测系统及其算法实现[J], 控制与决策,2004,19(4): 377-382. (EI检索)
冯健,张化光,伦淑娴,王占山. 输油管道泄漏监测与定位系统的研制[J],东北大学学报(自然科学版),2003,24(8): 731-734. (EI检索)
冯健,张化光. 管道监控技术现状与发展趋势[J],信息技术,2003,27(12): 41-43.
Li Fangming, Feng Jian*, Lu Senxiang, Liu Jinhai, Yao Yu. Convolution neural network for classification of magnetic flux leakage response segments[C], Proceedings of IEEE 6th Data Driven Control and Learning Systems Conference, Chongqing, 2017.5, 152-155. (EI、ISTP检索)
Lu Senxiang, Feng Jian*, Li Fangming, Liu Jinhai, Zhang Huaguang. Extracting defect signal from the MFL signal of seamless pipeline[C], Proceedings of the 29th Chinese Control and Decision Conference, Chongqing, 2017.5, 5301-5304. (EI、ISTP检索)
  1. Feng Jian, Wang Jian, Han Zhiyan. Process monitoring for chemical process based on semi-supervised principal component analysis[C], Proceedings of the 25th Chinese Control and Decision Conference, Gui Yan, 2013.5, 4282-4286. (EI、ISTP检索)
Huang Rui, Feng Jian*, Magnetic field analysis of permanent magnet array for planar motor based on equivalent magnetic charge method[C], Proceedings of the 10th World Congress on Intelligent Control and Automation, Beijing, 2012.7, 3966-3970.(EI、ISTP检索)
Feng Jian, Zhu Han. Wireless communication system design in pipeline monitoring[C], International Conference on Computer, Electrical, and System Science, and Engineering, 2011, 391-395.(ISTP检索)
Feng Jian, Zhang Huaguang. Oil pipeline leak detection and location using double sensors pressure gradient method[C], Proceedings of WCICA 2004, Hangzhou, 2004.6, 3134-3137.(EI检索)
注:"*"表示通讯作者
著作

 

《海底管道内检测作业方法》,王增国,崔匡庆,唐建华,冯健,汪刚编著,科学出版社,2017年1月

《ARM嵌入式系统开发典型模块》,孙秋野,孙凯,冯健编著,人民邮电出版社,2007年1月

《工业企业供电》,周瀛,李鸿儒,冯健等编著,冶金工业出版社,2002年4月

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