计算智能与系统工程研究所

​贺彦林,博士,教授,博士生导师

发布人:信息学院发布时间:2020-03-31浏览次数:1340


贺彦林(Yan-Lin He):教授 博士生导师 自动化系系主任

20166月获工学博士(控制科学与工程)20195月入选北京化工大学青年英才百人计划现任北京自动化学会理事、中国自动化学会应用专委会委员中国自动化学会数据驱动控制、学习与优化专业委员会委员中国人工智能学会不确定人工智能专委会委员,中国自动化学会青年工作委员会委员,中国化工学会信息技术应用专业委员会青年委员等。近五年,以第一作者/通信作者在IEEE Transactions 汇刊《IEEE Trans. on Ind. Inform.》《IEEE T. Contr. Syst. T.》、《IEEE T. Instrum. Meas.》、《IEEE T. Reliab.,中国自动化学会推荐A/B刊,IFAC会刊和化工类国际顶级期刊等权威期刊发表SCI论文70余篇;专利授权7申请专利15主持国家自然科学基金青年项目面上项目获北京市科协2020-2022年度青年人才托举计划2018年北京自动化学会青年科技创新人才奖等。

研究方向计算智能、系统建模与优化、软测量、故障诊断、机器学习等。

教学课程Teaching courses

课程名称

面向对象

人工智能及应用

本科生

自动化科学导论

本科生

模式识别与机器学习

本科生

智能制造系统

研究生

系统工程理论

研究生

Neural Network Technology

留学生

主持、参与的主要科研项目 Research Projects

项目名称

项目来源

复杂化工过程故障诊断及其根源分析关键技术研究

国家自然科学基金面上项目

基于VSG ELM 的复杂石化过程智能建模方法研究

国家自然科学基金青年项目

工控系统安全主动防御机制及体系研究

国家重点研发计划项目

复杂石化过程智能化建模与诊断

智能过程系统工程教育部工程研究中心基地创新项目

面向故障诊断的动态时间维度信息挖掘理论研究

自由探索项目

代表论文Research Papers

[1]Zhang Ning; Xu Yuan; Zhu Qun-Xiong; He Yan-Lin*; Farthest-Nearest Distance Neighborhood and Locality Projections Integrated with Bootstrap for Industrial Process Fault Diagnosis, IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3182774.

[2]Jiang Xue; Xu Yuan; Ke Wei; Zhang Yang;, Zhu Qun-Xiong; He Yan-Lin*; An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost, IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-8, 2022, Art no. 3505908, doi: 10.1109/TIM.2022.3149097.

[3]He Yan-Lin*; Xing-Yuan Li; Jia-Hui Ma; Shan Lu; Qun-Xiong Zhu; A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing, Journal of Process Control, 113, 2022, 18-28.

[4]Zhang Ning; Xu Yuan; Zhu Qun-Xiong; He Yan-Lin*; Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes, IEEE Transactions on Reliability, 2022, doi: 10.1109/TR.2021.3139539.

[5]Tian Ye; Xu Yuan; Zhu Qun-Xiong; He Yan-Lin*; Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-10, 2021, Art no. 2515910, doi: 10.1109/TIM.2021.3120135.

[6]He Yan-Lin; Lei Chen; Yanlu Gao; Jia-Hui Ma; Yuan Xu; Qun-Xiong Zhu; Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption, ISA Transactions, 2021, doi:10.1016/j.isatra.2021.08.030.

[7]He Yan-Lin; Li Kun; Liang Lilong; Xu Yuan; Zhu Qun-Xiong; Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis, IEEE Transactions on Reliability, 2021, doi: 10.1109/TR.2021.3115108.

[8]He Yan-Lin; Li Kun; Zhang Ning; Xu Yuan; Zhu Qun-Xiong; Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-8, 2021.

[9]He Yan-Lin; Zhao Yang; Hu Xiao; Yan Xiaona; Zhu Qun-Xiong; Xu Yuan; Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples, Engineering Applications of Artificial Intelligence, 2020, 91,103631.

[10] Xu Yuan; Shen Sheng-Qi; He Yan-Lin*; Zhu Qun-Xiong; A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring, IEEE Transactions on Control Systems Technology, 2019, 27 (4): 1780-1787.


科研成果

基于计算智能的工业软测量应用

工业过程数据特征处理

复杂流程工业故障数据特征信息分析和诊断