高小永

发布日期:2019-10-08

个人简介

          高小永

   海洋油气工程系

          山东安丘

   (1) 数据驱动的故障诊断与容错控制(机器学习相关)

                       (2) 复杂工业过程建模与优化控制

                       (3) 复杂工业过程计划与调度优化

          副教授

   硕士生导师

   办公电话:010-89731669

              Emailx.gao@cup.edu.cn

教育与工作经历

20039-20077     中国石油大学(华东)自动化系             本科

20079-20147     清华大学自动化系                         硕士、博士

20136-201312    University of Surrey                       交流访问

20147-201612    清华大学自动化系                       博士后

201612-             中国石油大学(北京)安全与海洋工程学院   讲师、副教授

 

研究生招生专业

硕士生招生专业:控制科学与工程(注:在信息科学与工程学院招生)

欢迎自动化、计算机及数学等相关专业的同学报考!

 

学术兼职

中国化工学会信息技术应用专业委员会青年委员

中文核心期刊《计算机与应用化学》青年编委

中国化工学会、中国自动化学会会员

 

主持项目情况

2018.1-2020.12,面向氯碱生产过程大规模复杂调度问题的分片线性规划方法研究(21706282),国家自然科学基金青年基金

2016.1-2020.12,水下生产系统故障诊断及智能预警技术研究(2016YFC0303703),国家重点研发计划子课题

2017.9-2020.12,一类复杂大规模MINLP问题的分片线性规划方法研究 (2462017YJRC028),校引进人才启动基金

代表性论文

[1] X Gao, Y Wang, Z Feng, D Huang, T Chen. Plant planning optimization under time-varying uncertainty: Case study on a polyvinyl chloride plant. Industrial & Engineering Chemistry Research, 2018, 57(36): 12182-12191. (SCI, TOP期刊)

[2] X Gao, Z Feng, Y Wang, X Huang, D Huang, T Chen, X Lian. Piecewise Linear Approximation based MILP Method for PVC Plant Planning Optimization. Industrial & Engineering Chemistry Research, 2018, 57 (4), 1233–1244. (SCI, TOP期刊)

[3] X Gao et al. Fault Detection in Managed Pressure Drilling using Slow Feature Analysis. IEEE Access, 2018, 6, 34262-34271. (SCI)

[4] X Gao, L Qi, W Lyu, T Chen, D Huang. RIMER and SA based thermal efficiency optimization for fired heaters. Fuel, Volume 205, 2017, Pages 272-285. (SCI, TOP期刊)

[5] X Gao, D Huang, Y Jiang, T Chen. A decision tree based decomposition method for oil refinery scheduling. Chinese Journal of Chemical Engineering, 2018, 26(8): 1605-1612. (SCI)

[6] Y Wang, X Lian, X Gao*, Z Feng, D Huang, T Chen, S Liu, J Bai. Multiperiod Planning of a PVC Plant for the Optimization of Process Operation and Energy Consumption: An MINLP Approach. Industrial & Engineering Chemistry Research, 2016, 55 (48), 12430-12443. (SCI, TOP期刊)

[7] M Tian, X Gao, Y Jiang, D Huang, L Wang. Decomposition Algorithm for the Scheduling of Typical Polyvinyl Chloride Production by Calcium Carbide Method. Industrial & Engineering Chemistry Research, 2016, 55 (47), 12256-12267. (SCI, TOP期刊)

[8] 高小永, 江永亨, 黄德先. 基于装置级优化控制与厂级调度优化集成的过程模型方法. 化工学报, 2016, 67 (12), 5105-5111. (EI)

[9] X Gao, Y Jiang, T Chen, D Huang. Optimizing scheduling of refinery operations based on piecewise linear models. Computers & Chemical Engineering, 2015, 75, 105-119. (SCI, TOP期刊)

[10] X Gao, Y Jiang, D Huang, Z Xiong. A novel high level canonical piecewise linear model based on the simplicial partition and its application. ISA transactions, 2014, 53 (5), 1420-1426. (SCI)

[11] X Gao, C Shang, Y Jiang, D Huang, T Chen. Refinery scheduling with varying crude: a deep belief network classification and multimodel approach. AIChE Journal, 2014, 60 (7), 2525-2532. (SCI, TOP期刊)

更多内容,请浏览谷歌学术:

https://scholar.google.com/citations?hl=zh-CN&user=o-kIM4QAAAAJ&view_op=list_works&sortby=pubdate

 

教学工作情况

本科生:最优化方法(32学时)、自动化导论(16学时)、现代检测技术(合讲,承担16学时)

研究生:最优估计(32学时)、人工智能概论(16学时)