李绍军
男,1970年出生。工学博士。研究员,博士研究生导师。
基本信息:
所属部门:自动化系
办公电话:64253820
办公地址:研究生楼1107东
Email: lishaojun@ecust.edu.cn
主讲课程:
过程系统工程导论
科研方向:
复杂工业过程建模、优化与控制;智能优化算法;化工过程安全管理及故障诊断
科研项目:
1.基于Vine Copula的复杂化工过程故障在线监测方法研究,国家自然科学基金,2017.1-2020.12
2. 基于博弈理论的石化园区厂际热整合研究,国家自然科学基金,2015.1-2017.12
3. 1000万吨/年蒸馏装置换热网络优化研究,独山子石化项目,2015.9-2017.8
学术成果:
[1].Xiang Ren,Ying Tian,and Shaojun Li*,Vine Copula-Based Dependence Description for MultivariateMultimode Process Monitoring, Industrial& Engineering Chemistry Research, 2015, 54:10001-10019
[2].Xiang Cheng, Xiang Ren, Shunlong Ma, Shaojun Li*, Amodelingmethodbasedonartificial neural network with monotonicityknowledge as constraints. Chemometrics and Intelligent Laboratory Systems, 2015, 145: 93–102
[3].Junrui Cheng, JingyingZhao, Shaojun Li*, An improved AEA using local search and its application to parameterestimation for homogeneous mercury oxidation. Chemometrics and Intelligent Laboratory Systems, 2015, 141:68-78
[4].Xiang Ren, Shaojun Li*,Cheng Lv, Ziyang Zhang, Sequential Dependence Modeling Using Bayesian Theory and D-VineCopula and Its Application on Chemical Process Risk Prediction. Industrial& Engineering Chemistry Research, 2014, 53, 14788−14801.
[5].Cheng Lv, Ziyang Zhang, Xiang Ren, Shaojun Li*, Predicting the frequency of abnormal events in chemical process withBayesian theory and vine copula. Journal of Loss Prevention in the Process Industries, 2014, 32:192-200.
[6].Zhen Wang, Shaojun Li*, Zhixiang Sang, A new constraint handling method based on the modified Alopex-basedevolutionary algorithm. Computers & Industrial Engineering, 2014, 73:41-50.
[7].Sang Zhixiang, Li Shaojun*, Dong Yuehua, A new improved Alopex-based evolutionary algorithm andits application to parameter estimation. J. Cent. South Univ., 2013, 20: 123-133.
[8].Shunlong Ma, Yuehua Dong, Zhixiang Sang, Shaojun Li*.An improved AEA algorithm with Harmony Search(HSAEA) and its application in reaction kinetic parameter estimation. Applied Soft Computing, 2013,13(8):3505-3514.
[9].Shaojun Li*, Feng Li, Prediction of Cracking Gas Compressor Performance and ItsApplication in Process Optimization. Chinese Journal of Chemical Engineering, 2012, 20(6):1089-1093.
专利:
[1].基于Vine Copula相关性描述的多模态过程故障检测方法及系统,申请公布号:CN 104914775 A
[2].结合过程先验和数据驱动模型的混合建模方法及系统,申请公布号:CN 104915522 A
[3].醋酸脱水共沸精馏系统水相回流的专家控制方法,ZL 201010193950.2.
[4].乙烯装置中乙烯精馏塔的智能控制方法,ZL 02148476.7
[5].一种离心式压缩机压缩比和多变效率的在线软测量方法,ZL 200910046606.8
[6].一种常顶油干点在线软测量方法,ZL201110198455.5