Progress of data-driven and knowledge-driven process monitoring and fault diagnosis for industry process

被引:0
|
作者
Liu, Qiang [1 ,2 ]
Chai, Tian-You [1 ,2 ]
Qin, S-Joe [3 ]
Zhao, Li-Jie [1 ,4 ]
机构
[1] Key Laboratory of Process Industry Automation of Ministry of Education, Northeastern University, Shenyang 110819, China
[2] Research Center of Automation, Northeastern University, Shenyang 110819, China
[3] The Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles 90089, United States
[4] Information Engineering School, Shenyang Institute of Chemical Technology, Shenyang 110032, China
来源
Kongzhi yu Juece/Control and Decision | 2010年 / 25卷 / 06期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:801 / 807
相关论文
共 50 条
  • [1] Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
    Melo, Afranio
    Camara, Mauricio Melo
    Pinto, Jose Carlos
    [J]. PROCESSES, 2024, 12 (02)
  • [2] Research progress of data-driven methods in fault diagnosis of chemical process
    Yao Y.
    Luo W.
    Dai Y.
    [J]. Huagong Jinzhan/Chemical Industry and Engineering Progress, 2021, 40 (04): : 1755 - 1764
  • [3] Progress of Data-Driven Process Monitoring for Nonlinear and Non-Gaussian Industry Process
    Wang, Peiliang
    He, Wuming
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2013, : 71 - 73
  • [4] From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring
    Senderovich, Arik
    Di Francescomarino, Chiara
    Maggi, Fabrizio Maria
    [J]. INFORMATION SYSTEMS, 2019, 84 : 255 - 264
  • [5] Data-driven tools for the optimization of a pharmaceutical process through its knowledge-driven model
    Castaldello, Christopher
    Facco, Pierantonio
    Bezzo, Fabrizio
    Georgakis, Christos
    Barolo, Massimiliano
    [J]. AICHE JOURNAL, 2023, 69 (04)
  • [7] Knowledge-driven versus data-driven logics
    Dubois D.
    Hájek P.
    Prade H.
    [J]. Journal of Logic, Language and Information, 2000, 9 (1) : 65 - 89
  • [8] Survey on data-driven industrial process monitoring and diagnosis
    Qin, S. Joe
    [J]. ANNUAL REVIEWS IN CONTROL, 2012, 36 (02) : 220 - 234
  • [9] Knowledge-based attributes generation for data-driven fault diagnosis in process systems
    Yamashita, Yoshiyuki
    [J]. 11TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, PTS A AND B, 2012, 31 : 310 - 314
  • [10] Fault diagnosis for open-circuit faults in NPC inverter based on knowledge-driven and data-driven approaches
    Kou, Lei
    Liu, Chuang
    Cai, Guo-wei
    Zhou, Jia-ning
    Yuan, Quan-de
    Pang, Si-miao
    [J]. IET POWER ELECTRONICS, 2020, 13 (06) : 1236 - 1245