个人简介
朱理,博士、副教授。本科毕业于大连理工大学控制科学与工程学院,于浙江大学获工学博士学位,曾在瑞典隆德大学自动控制系进行博士后研究工作。
教育经历
2009.9 -- 2014.6 浙江大学 > 控制科学与工程 > 博士
2005.9 -- 2009.6 大连理工大学 > 自动化 > 学士
研究领域
能源效率评估与诊断、过程监测与软测量、数据挖掘与过程知识发现、工业人工智能系统与技术等。
近期论文
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Zhu, Li.Li, Zhe,Chen, Junghui.Evaluating and Predicting Energy Efficiency Using Slow Feature Partial Least Squares Method for Large-scale Chemical Plants[J],2021,230:1-14
Zhu, Li.Chen, Junghui.Energy efficiency evaluation and prediction of large-scale chemical plants using partial least squares analysis integrated with Gaussian process models[J],EI、SCIE、SSCI、Scopus,2019,195:690-700
Zhu, Li.Chen, Junghui.Development of energy efficiency principal component analysis model for factor extraction and efficiency evaluation in large-scale chemical processes[J],SCIE、SSCI、EI,2019,43(2):814-828
Zhu, Li.Chen, Junghui.A dynamic approach to energy efficiency estimation in the large-scale chemical plant[J],EI、SCIE、SSCI,2019,212:1072-1085
Zhu, Li.Chen, Junghui.Prognostics of PEM fuel cells based on Gaussian process state space models[J],SCIE、EI,2018,149:63-73
Zhu, Li.Chen, Junghui,Chen, Chun-I.Prognostics of tool failing behavior based on auto-associative Gaussian process regression for semiconductor manufacturing[A],CPCI-S,2020:316-321
Zhu Li.An Industrial Process Monitoring Scheme with Moving Window Slow Feature Analysis[A],2021
Zhu, Li.Johnsson, Charlotta,Mejvik, Jacob,Varisco, Martina,Schiraldi, Massimiliano.Key performance indicators for manufacturing operations management in the process industry[A],EI,2017,2017-December:969-973
Zhu, Li.Mejvik, Jacob,Johnsson, Charlotta,Bengtsson, Kristofer,Pettersson, Hakan,Varisco, Martina,Schiraldi, Massimiliano M..Key Performance Indicators in Manufacturing Operations Management: A case study of the IS022400-standard applied at Volvo Cars[A],CPCI-S,2018,2018-September:1149-1152
Zhu, Li.Johnsson, Charlotta,Varisco, Martina,Schiraldi, Massimiliano M..Key performance indicators for manufacturing operations management - gap analysis between process industrial needs and ISO 22400 standard[A],CPCI-S,2018,25:82-88