|
1
|
Yu J, Zhang Y. Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-08017-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
|
2
|
Huang B, Hu LS. Quantification of Valve Stiction in Control Loops Using the Bayesian Approach on the Riemannian Manifold. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Bo Huang
- Department of Automation, Shanghai Jiao Tong University Shanghai, 200240, China
| | | |
Collapse
|
|
3
|
Cui P, Wang X, Yang Y. Nonparametric manifold learning approach for improved process monitoring. CAN J CHEM ENG 2022. [DOI: 10.1002/cjce.24066] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Ping Cui
- Key Laboratory of Ministry of Education in System Control and Information Processing, Department of Automation Shanghai Jiao Tong University Shanghai China
| | - Xuhong Wang
- Key Laboratory of Ministry of Education in System Control and Information Processing, Department of Automation Shanghai Jiao Tong University Shanghai China
| | - Yupu Yang
- Key Laboratory of Ministry of Education in System Control and Information Processing, Department of Automation Shanghai Jiao Tong University Shanghai China
| |
Collapse
|
|
4
|
Deng X, Deng J. Incipient Fault Detection for Chemical Processes Using Two-Dimensional Weighted SLKPCA. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.8b04794] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Xiaogang Deng
- College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China
| | - Jiawei Deng
- College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China
| |
Collapse
|
|
5
|
Yu J, Yan X. Layer-by-Layer Enhancement Strategy of Favorable Features of the Deep Belief Network for Industrial Process Monitoring. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b04689] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jianbo Yu
- Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Xuefeng Yan
- Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, P. R. China
| |
Collapse
|
|
6
|
Wang Y, Si Y, Huang B, Lou Z. Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017. CAN J CHEM ENG 2018. [DOI: 10.1002/cjce.23249] [Citation(s) in RCA: 157] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Youqing Wang
- College of Electrical Engineering and Automation; Shandong University of Science and Technology
- College of Information Science and Technology; Beijing University of Chemical Technology
| | - Yabin Si
- College of Information Science and Technology; Beijing University of Chemical Technology
| | - Biao Huang
- Department of Chemical and Materials Engineering; University of Alberta
| | - Zhijiang Lou
- College of Information Science and Technology; Beijing University of Chemical Technology
| |
Collapse
|
|
7
|
|
|
8
|
Ren X, Tian Y, Li S. Vine Copula-Based Dependence Description for Multivariate Multimode Process Monitoring. Ind Eng Chem Res 2015. [DOI: 10.1021/acs.iecr.5b01267] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Xiang Ren
- Key
Laboratory of Advanced Control and Optimization for Chemical Processes,
Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
| | - Ying Tian
- Key
Laboratory of Advanced Control and Optimization for Chemical Processes,
Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
- School
of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Shaojun Li
- Key
Laboratory of Advanced Control and Optimization for Chemical Processes,
Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
| |
Collapse
|