贾明兴 - 东北大学 - 信息科学与工程学院

个人简介

教育经历 1991.9-1995.6 东北大学机械学院流体传动及控制专业学士学位 1995.9-1998.3东北大学机械学院流体传动及控制专业硕士学位 2000.3-2003.10东北大学信息科学与工程学院控制理论与控制工程专业博士学位工作经历 1998.3-2003.12沈阳大学信息学院讲师 2004.1-2006.12东北大学信息学院讲师 2007.1-2009.12东北大学信息学院副教授 2010.1-至今东北大学信息学院教授 2004.1-2006.1 东北大学博士后

研究领域

工业大数据建模与分析、故障诊断与优化控制、图像处理

近期论文

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1.Leng Chunyang,Jia Mingxing,Zheng Haijin,Deng Jibin,Niu Dapeng. Dynamic liquid level prediction in oil wells during oil extraction based on WOA-AM-LSTM-ANN model using dynamic and static information,ENERGY,2023, 11. SCIE, EI. 2. Jia M , Leng C .Multi-well dynamic liquid-level prediction method of pumping well based on dynamic and static information feature fusion neural network[J].Transactions of the Institute of Measurement and Control, 2023,SCIE, EI. 3.Xu Yuemei; Jia Mingxing*; Mao Zhizhong; Li Hanqi; A novel kernel dynamic inner slow feature analysis method for dynamic nonlinear process concurrent monitoring of operating point deviations and process dynamics anomalies, Journal of Process Control, 2022, 110. SCIE, EI. 4.Xu Yuemei; Jia Mingxing*; Mao Zhizhong; A novel auto-regressive dynamic slow feature analysis method for dynamic chemical process monitoring., Chemical Engineering Science, 2022, 248(1). SCI. 5.Jia M , Pan Z , Li G , et al. A Fast Diagnosis Method of Escalator Reversal Faults Based on Dynamic Information and Multiattribute Decision-Making[J]. Journal of Mathematics, 2021.SCI. 6.Jia, MX; Gao, XF; Li, HR; Pang, HL. Elevator Running Fault Monitoring Method Based on Vibration Signal,SHOCK AND VIBRATION[J],2021,SCI. 7.Jia M*; Xu Y; Hong M; Hu X; Multitask Convolutional Neural Network for Rolling Element Bearing Fault Identification, Shock and Vibration, 2020, 2(1)：1-10. SCI. 8.Gao, Zhenpeng; Jia, Mingxing*; Mao, Zhizhong; Zhao, Luping; A new monitoring method for the between-mode transition of multimode processes, Canadian Journal of Chemical Engineering, 2020, 98(1)：254-262. SCI. 9.M.X, Jia*; J.L, Zhang; Y.M, Xu; Optimization Design of Industrial Water Supply Pump Station Considering the Influence of Atmospheric Temperature on Operation Cost, IEEE Access, 2020, 1-1. SCI. 10.Gao, Zhenpeng; Jia, Mingxing*; Mao, Zhizhong; Zhao, Luping; Transitional phase modeling and monitoring with respect to the effect of its neighboring phases, Chemical Engineering Research and Design, 2019, 145：288-299. SCI, EI. 11.* Jia M, Chen C, Kou W, et al. Real-time Optimization of Converter Inlet Temperature in Acid Production with Flue Gas[J]. Chemical Engineering Research & Design, 2017, 122. 12.Chen C, *Jia M, You F, et al. A new modifier adaptation methodology for real-time optimization[J]. Transactions of the Institute of Measurement & Control, 2017:014233121668207. 13.Wang Y J, Jia M X, Mao Z Z. A fast monitoring method for multiple operating batch processes with incomplete modeling data types[J]. Journal of Industrial & Engineering Chemistry, 2015, 21(1):328-337. SCI 14.Jia, Mingxing; Zhang, Zhixian; Song, Pengfei; Du, Junqiang. Research of improved algorimth based on LBP for face recognition. Lecture Notes in Computer Science , v 8833, p 111-119, 2014 15.*Jia Mingxing, Xu Hengyuan, Liu, Xiaofei,Wang Ning. The optimization of the kind and parameters of　kernel function in KPCA for process monitoring ，Computers and Chemical Engineering,2012，46: 94-104，SCI 16.Wang Yajun, *Jia Mingxing、Mao Zhizhong. Weak fault monitoring method for batch process based on multi-model　SDKPCA[J].Chemometrics and Intelligent Laboratory Systems. ，Chemometrics and Intelligent Laboratory　Systems, 2012，118(1):1-12, SCI 17.Jia, Mingxing，Chu, Fei，Wang, Fuli，Wang, Wei. On-line batch process monitoring using batch dynamic kernel principal component analysis Chemometrics and Intelligent Laboratory Systems 2010，101（2）：110~122 SCI 18.贾明兴,王福利,毛志忠.基于自适应观测器的一类非线性系统鲁棒故障诊断[J]. 2004,4