教授
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
研究方向
工业大数据建模与分析、故障诊断与优化控制、图像处理。
招收博士/硕士方向
欢迎自动化、人工智能等专业学生报考研究生。
一、科研项目
1．高速大变载电梯关键部件损伤演化与系统性能退化机理研究，国家重点研发计划课题，2023YFC3010401，2023-2026，320万
2．基于多源数据分析的机电类特种设备典型故障预测技术研究，国家重点研发计划课题，2018YFC0809005，2018-2021，520万
3．基于大规模数据驱动的轧钢过程故障诊断及自愈控制，国家自然科学基金重点项目课题，51634002-2，2017-2022，51万
4．循环冷却水系统经济运行与能耗瓶颈诊断方法研究国家自然科学基金面上项目，61773101，2018-2021，63万
5．面向大规模数据的人脸识别技术研究，2013BAK02B01-01，国家科技支撑计划项目子课题，2013-2015，150万
6．基于数据的间歇过程多元统计建模与监测方法关键技术研究、61074098、国家自然科学基金面上项目，2010-2012，35万
7．基于全生命周期大数据的电梯类特种设备故障诊断、事故预测方法研究及应用，N170402009，教育部基础科研业务费，2018-2020，40万
8．智能化出入境边防检查人脸识别技术研究，辽宁省科技计划，2013231025，2013-2015，20万
9．驾驶员疲劳可靠检测关键技术与新产品开发，辽宁省科技计划，2010.3.1-2013.3.1,20万
10．二代身份证表面缺陷检测技术，沈阳派尔泰科科技有限公司，2022.9.1-2022.11.30，25万
11．特种设备安全动态智能监管平台技术，浪潮科技集团，2021-2023，129.2万
12．基于激光视觉的轮胎轮廓检测技术，米其林沈阳轮胎有限公司，2020-2020,10万
13．电梯大数据检验预警平台研发，沈阳市特检院，2018-2020，43万
14．电梯全生命周期数据采集与运行分析平台研发，沈阳市特检院，2018-2020，64万
15．电梯多源异构数据预处理、编码归类和数据挖掘，上海市特种设备监督检验技术研究院，2019.4.15-2019.12.15,12万
16．中金集团内蒙古矿业有限公司能源管理系统，中金集团内蒙古矿业有限公司，2018-2019，37.4万
17．流体系统建模与自适应控制技术研究，上海宝钢节能环保技术有限公司，2013-2015，40万
二、学术论文
2.1期刊论文
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
2.2会议论文
1.Niu, Dapeng; Zhao, Zicheng; Jia, Mingxing. An Interval Neural Network Based on Improved Differential Evolution Algorithm. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021, p 2632-2637, 2021
2.Xu, Yuemei; Jia, Mingxing; Yang, Yifan; DIng, Shuai. A Steam Detection Method for Liquor Distillation in the Process of Feeding. Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, p 3394-3399, August 2020.
3.Gao, Zhenpeng; Jia, Mingxing; Mao, Zhizhong; Zhao, Luping. Statistical modeling and monitoring for the between-mode transition of multimode processes. Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018, p 2775-2780, July 6, 2018.
4.Guo, Yuming; Wang, Fuli; Jia, Mingxing; Niu, Dapeng. Hybrid modeling method for predicting the cooling water outlet temperature in plate heat exchanger. Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016, p 1194-1197, August 3, 2016.
5.Wang, Yajun; Mao, Zhizhong; Jia, Mingxing; Bai, Jing. Stage-based variable sampling period modeling and on-line monitoring strategy for uneven-length batch processes. 26th Chinese Control and Decision Conference, CCDC 2014, p 4501-4506, 2014.
6.Wang, Lu; Deng, Qingxu; Jia, Mingxing. Robust multi-human tracking by detection update using reliable temporal information. VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications, v 3, p 387-396, 2014.
7.Bai, Limin; Jia, Mingxing; Qiao, Shengyang; Wu, Qiang. A comparative study of face recognition algorithms on R1 face database. 26th Chinese Control and Decision Conference, CCDC 2014, p 5374-5379, 2014.
8.Wang, Lu; Ji, Xiaoli; Deng, Qingxu; Jia, Mingxing. Deformable part model based multiple pedestrian detection for video surveillance in crowded scenes. VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications, v 2, p 599-604, 2014.
9.Jia Mingxing; Du Junqiang; Cheng Tao; Yang Ning; Jiang Yi; Zhang Zhen. An Improved Detection Algorithm of Face with Combining AdaBoost and SVM. 2013 25th Chinese Control and Decision Conference (CCDC 2013), p 2459-63, 2013
10.Jia, Mingxing; Qiao, Shengyang; Lan, Qing. A real-time fault monitoring and diagnosis for batch process based on dynamic principal component analysis. Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012, p 2939-2943, 2012
11.Jia Mingxing; Xu Hengyuan; Wang Fei. Research on driver's face detection and position method based on image processing. Proceedings of the 2012 24th Chinese Control and Decision Conference (CCDC), p 1954-9, 2012.
12.Jia, Mingxing; Liu, Xihai; Zhao, Lin; Tang, Zuobin; Yang, Ning. Basic speed iterative learning control method and application for electro-slag furnace. Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011, p 3658-3662, 2011.
13.Jia Mingxing; Li Fengxiang; Guan Shouping. Optimal PCA-based Modeling and Fault Diagnosis for Uneven-length Batch Processes. Source: 2010 8th IEEE International Conference on Control and Automation (ICCA 2010), p 1731-6, 2010.
14.Zhao, Chunhui; Wang, Fuli; Mao, Zhizhong; Jia, Mingxing; Wang, Shu. An adaptive DISSIM algorithm for statistical process monitoring. IFAC Proceedings Volumes (IFAC-PapersOnline), v 17, n 1 PART 1, 2008
三、代表性专利
1.贾明兴、李天擎、胡熙玉、徐悦梅、牛大鹏、尤富强。一种基于电梯钢丝绳弯曲次数的电梯安全检测方法，2020.11.3，中国，CN201910878226.4
2.贾明兴,李天擎,徐悦梅,牛大鹏,尤富强.一种电梯远程监察执法系统,，2020.11.3，中国，CN202010875350.8
3.贾明兴，张战胜。一种面向大规模人脸数据库的快速高效人脸检索方法，2019.05.17，中国，CN201510408252.2
4.贾明兴，张志先，孙放，杨一帆。一种基于人脸识别技术的高识别率自动考勤装置及方法，中国，CN 201410658240.0
5.毛志忠，贾明兴，李鸿儒，袁平，李磊。电炉电极智能控制器， 2013.2.6，中国，CN200910220049.7
6.贾明兴,孟庆宇。耐火砖内部质量在线检测装置 2012.3.7，中国，CN200910220103.8
7.贾明兴,张志飞，宋洋，陈仁义。驾驶员疲劳驾驶的监测装置及监测方法， 2010.11.17，中国，CN200910011567.8
四、个人获奖
1. On-line batch process monitoring using batch dynamic kernel principal component analysis，二等，辽宁省自然科学学术成果奖，2011
五、个人简介
贾明兴，米乐平台（中国）有限公司官网教授，博士生导师，沈阳市领军人才，扬州市双创人才。主要从事故障诊断与优化控制、图像处理方面研究。长期以来对复杂工业过程优化控制，故障检测与诊断方法，目标识别方面作了大量工作，在国内外发表相关论文120余篇，获得发明专到7项，软件著作权5项。承担国家、省级及企事业科研项目30余项，包括863计划、国家重点研发计划项目、国家科技支撑计划项目、国家自然科学基金等，涉及机电类特种设备、水隔离泵、电炉、电渣炉，轧机，压缩机，水压机，酿酒上甑装置等大型工业设备控制与故障诊断。开发特种设备智慧监管软件、电梯无纸化维保软件、企业设备隐患自查软件、智能能源管理软件、工业冷却水优化设计与经济运行软件、课堂自动考勤管理软件等，应用于特种设备监管、汽车、钢铁、矿山和教育等领域。
联系方式
办公室：信息楼337
电话：13898802799
邮箱：jiamingxing@ise.neu.edu.cn
