教师名录

周乐 副教授


研究方向数据驱动故障诊断与软测量;工业大数据分析与应用;人工智能与深度学习
办公地址浙江省杭州市西湖区留和路318号浙江科技学院C1-318室,邮编310023
电子邮件zhoule@zust.edu.cn

  • 个人简介

    周乐,副教授,博士(后),硕士生导师。校科大青年英才,中国自动化学会技术过程故障诊断与安全性专业委员会委员,中国自动化学会数据驱动的控制、学习与优化专业委员会委员、IEEE会员、浙江省自动化学会高级会员。美国南加州大学维特比学院、中国台湾国立清华大学、中国台湾中原大学访问学者。主要研究方向为数据驱动故障诊断与软测量、工业大数据分析与应用、人工智能与深度学习。现主持国家自然科学基金青年项目、中国博士后基金(一等资助)、浙江省自然科学基金面上项目、浙江省教育厅一般项目等,作为主要研究成员参与了国家973计划课题、国家自然科学基金重点项目、一般项目以及国家科技支撑计划子课题等。近几年在国内外权威学术期刊发表论文20余篇。担任 IEEE TIE、IEEE TNNLS、IEEE TII、IEEE TCST、JPC、IECR等国外权威SCI期刊稿件评审人。
  • 教育经历

    浙江大学 控制科学与工程学系 本科,博士 美国南加州大学 维特比工学院 访问学者 台湾中原大学 化工系 访问学者
  • 工作经历

    2015-2017 浙江科技学院 讲师 2017-至今 浙江科技学院 副教授 2019.01-2019.03 中国台湾清华大学 访问学者
  • 科研方向

    数据驱动故障诊断与软测量; 工业大数据分析与应用; 人工智能与深度学习
  • 科研项目

    1、主持,国家自然科学基金青年项目,随机噪声环境下的动态过程概率建模及故障检测方法,2017-2019 2、主持,中国博士后基金(一等资助),基于概率建模的复杂动态过程质量预测与监控研究,2018-2019 3、主持,浙江省自然科学基金面上项目,面向多采样率数据集的造纸废水处理过程故障检测研究,2019-2021 4、主持,浙江省教育厅一般项目,基于加权学习的工业过程概率建模与过程监测研究,2016-2018 5、参与,国家自然科学基金面上项目,面向半监督数据集的智能软测量建模方法研究与应用,2014-2017
  • 科研成果

    Selected Publications: Journal Paper 14. Cong Ya, Zhou Le, Song Zhihuan and Ge Zhiqiang, Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model. IEEE Transactions on Automation Science and Engineering, 2019 13. Zhou Le, Wang Yaoxin, Ge Zhiqiang, Song Zhihuan, Multi-Rate Factor Analysis Models for Fault Detection in Multi-rate Processes, IEEE Transactions on Industrial Informatics, 2018 12. Zhou Le, Chen Junghui, Jie Jing, Song Zhihuan, Multiple Probability Principal Component Analysis for Process Monitoring with Multi-Rate Measurements, Journal of the Taiwan Institute of Chemical Engineers, 2018 11. Zhou Le, Zheng Jiaqi, Ge Zhiqiang, Song Zhihuan and Shan Shengdao, Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model, IEEE Transactions on Industrial Electrnics,2018, 65(10): 8184-8194 10. Zhou Le, Chen Junghui, Hou Beiping and Song Zhihuan, Multi-Grade Principal Component Analysis for Fault Detection with Multiple Production Grades, Chemometrics and Intelligent Laboratory Systems, 2018,175, 20-29 9. Zhou Le, Li Gang, Qin S.Joe,Song zhihuan, Autoregressive dynamic latent variable models for process monitoring, IEEE Transactions on Control Systems Technology , 2017, 25 (1), 366-373 8. Zhou Le, Chen Junghui, Yao Le, Song Zhihuan, Hou Beiping, Similarity based robust probability latent variable regression model and its kernel extension for process monitoring, Chemometrics and Intelligent Laboratory Systems, 2017,161,88-95 7. 周乐,宋执环,侯北平,费正顺,一种鲁棒半监督建模方法及其在化工过程故障检测中的应用,化工学报,2017, 03, 1109-1115 6. Zhu jinlin, Ge zhiqiang, Song zhihuan, Zhou le, Chen guangjie, Large-scale plant-wide process modeling and hierarchical monitoring: A distributed Bayesian network approach. Journal of Process Control, 2017,65,91-106 5. He Yuchen, Zhou Le, Ge zhiqiang, Song zhihuan, Distributed Model Projection based Transition Processes Recognition and Quality-related Fault Detection. Chemometrics and Intelligent Laboratory Systems, 2016, 159, 69-79 4. Zhou Le, Chen Junghui, Song Zhihuan, Ge zhiqiang, Semi-supervised PLVR Models for Process Monitoring with Unequal Sample Sizes of Process Variables and Quality Variables, Journal of Process Control, 2015, 26, 1-16 3. Zhou Le, Chen Junghui, Song Zhihuan, Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes, Mathematical Problems in Engineering, 2015 2. Zhou Le, Chen Junghui, Song Zhihuan, Ge zhiqiang, Miao aimin, Probabilistic Latent Variable Regression Model for Process-Quality Monitoring. Chemical Engineering Science,2014,116,296-305 1. Miao aimin, Song zhihuan, Ge zhiqiang, Zhou Le, Time Neighborhood Preserving Embedding Model and Its Application for Fault Detection. Industrial & Engineering Chemistry Research, 2013, 52(38), 13717-13729 Conference Paper 8. Zhou Le,Yu Jiaxin,Jie Jing,Song Zhihuan, Recursive Autoregressive Dynamic Latent Variable Model for Fault Detection of Dynamic Process with Missing Values, 2018 IEEE DDCLS, Enshi, Hubei, China, 2018.5.29-31 7. Zhou Le, Chen Junghui, Ge Zhiqiang, Song Zhihuan, Multi-rate Fault Detection based on Multi-rate Probability Principle Component Analysis models,20th World Congress of the International Federation of Automatic Control, Toulouse, France, 2017.7.9-2017.7.14 6. Zheng Jiaqi, Zhou Le(*), Ge Zhiqiang, Song Zhihuan,Switching Autoregressive Dynamic Latent Variable Model for Fault Detection in Multimode Processes, 2017 IEEE DDCLS, Chong qing, China, 2017.5.26-2017.5.27 5. 周乐, 余家鑫,侯北平,宋执环,基于动态因子模型的批次过程故障检测方法, 第十届全国技术过程故障诊断与安全性学术会议,青岛,2017.8.19-2017.8.20 4. Zhou Le, Song Zhihuan, Hou beiping, Ma lianwei, Nonlinear Process Monitoring based on Canonical Correlation Analysis and Neural Networks, Chinese Process Control Conference, Lanzhou, China, 2016.7.30-2016.8.1 3. 周乐,宋执环,基于拉普拉斯正则化概率主元分析的故障检测, 第九届全国技术过程故障诊断与安全性学术会议,上海,2015.7.4-2015.7.6 2. Zhou Le, Song Zhihuan, Chen Junghui, Ge zhiqiang, Zhao li, Process-Quality Monitoring Using Semi-supervised Probability Latent Variable Regression Models, 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, 2014.8.24-2014.8.29 1. Zhou Le, Song Zhihuan, Ge zhiqiang, Miao aimin, Dynamic Process Monitoring based on Probabilistic principle component regression, Chinese Control and Decision Conference , Guiyang, China, 2013.5.25-2013.5.27
  • 教授课程

    自动化仪表(本科生专业课,大三) 误差分析与数据处理(留学生专业课,大二,全英文) 系统辨识(研究生专业课,研一,全英文)
  • 学术兼职

    中国自动化学会技术过程故障诊断与安全性专业委员会委员 中国自动化学会数据驱动的控制、学习与优化专业委员会委员 IEEE会员 中国自动化学会会员 浙江省自动化学会高级会员 期刊审稿人 IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Industrial Electronics IEEE Transactions on Industrial Informatics IEEE Transactions on Control Systems Technology IEEE Transactions on Automation Science and Engineering Journal of Process control (杰出审稿人) Industrial & Engineering Chemistry Research IEEE ACESS Journal of Chemometrics Applied Spectroscopy Computers and Industrial Engineering Journal of Central South University Journal of Control Science and Engineering
  • 团队信息

    团队教师 介婧 教授、硕导 周乐 副教授、硕导 武晓莉 副教授 郑慧 副教授、硕导 张淼 博士 硕士研究生 16级:张磊 17级:戴世请、王慧乐 18级:王尧欣、陆鲁、应小伟、刘凯瑞、戈萧、李俊霞 19级:沈程凯、李晓远、戴瑞、王贝贝 本科生代表 14级:余家鑫(浙江大学研究生,浙江科技学院卓越学子) 15级:商子琴(浙江大学研究生)、潘帅(英国爱丁堡大学) 团队招生信息 每年名额:硕士研究生4-6名 欢迎具有自动化、计算机、物联网、工程和数学等学科背景的优秀学生加入本团队攻读硕士学位! 欢迎本校二年级(含)以上同学进入实验室参与有关科研学术工作。
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