1
|
Yeo WS, Saptoro A, Kumar P. Adaptive Soft Sensor Development for Non-Gaussian and Nonlinear Processes. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b03821] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wan Sieng Yeo
- Chemical Engineering Department, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
| | - Agus Saptoro
- Chemical Engineering Department, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
| | - Perumal Kumar
- Chemical Engineering Department, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
| |
Collapse
|
2
|
Shao W, Tian X. Semi-supervised selective ensemble learning based on distance to model for nonlinear soft sensor development. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2016.10.005] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
3
|
Wang L, Jin H, Chen X, Dai J, Yang K, Zhang D. Soft Sensor Development Based on the Hierarchical Ensemble of Gaussian Process Regression Models for Nonlinear and Non-Gaussian Chemical Processes. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.6b00240] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Li Wang
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Huaiping Jin
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Xiangguang Chen
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Jiayu Dai
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Kai Yang
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
- Beijing Research & Design Institute of Rubber Industry, Beijing 100143, People’s Republic of China
| | - Dongxiang Zhang
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| |
Collapse
|
4
|
Liu Y, Wang F, Chang Y. Operating optimality assessment and nonoptimal cause identification for multimode industrial process with transitions. CAN J CHEM ENG 2016. [DOI: 10.1002/cjce.22513] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Yan Liu
- College of Information Science & Engineering; Northeastern University; Shenyang Liaoning, 110819 China
| | - Fuli Wang
- College of Information Science & Engineering; Northeastern University; Shenyang Liaoning, 110819 China
- State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University); Shenyang Liaoning, 110819 China
| | - Yuqing Chang
- College of Information Science & Engineering; Northeastern University; Shenyang Liaoning, 110819 China
- State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University); Shenyang Liaoning, 110819 China
| |
Collapse
|
5
|
Operating optimality assessment and nonoptimal cause identification for non-Gaussian multimode processes with transitions. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2015.06.016] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
6
|
Jin H, Chen X, Wang L, Yang K, Wu L. Adaptive Soft Sensor Development Based on Online Ensemble Gaussian Process Regression for Nonlinear Time-Varying Batch Processes. Ind Eng Chem Res 2015. [DOI: 10.1021/acs.iecr.5b01495] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Huaiping Jin
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Xiangguang Chen
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Li Wang
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Kai Yang
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| | - Lei Wu
- Department of Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
| |
Collapse
|
7
|
Liu Y, Wang F, Chang Y, Ma R. Comprehensive economic index prediction based operating optimality assessment and nonoptimal cause identification for multimode processes. Chem Eng Res Des 2015. [DOI: 10.1016/j.cherd.2015.03.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
8
|
Shao W, Tian X, Wang P. Soft sensor development for nonlinear and time-varying processes based on supervised ensemble learning with improved process state partition. ASIA-PAC J CHEM ENG 2015. [DOI: 10.1002/apj.1874] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Weiming Shao
- College of Information and Control Engineering; China University of Petroleum; Qingdao 266580 China
| | - Xuemin Tian
- College of Information and Control Engineering; China University of Petroleum; Qingdao 266580 China
| | - Ping Wang
- College of Information and Control Engineering; China University of Petroleum; Qingdao 266580 China
| |
Collapse
|
9
|
Shao W, Tian X. Adaptive soft sensor for quality prediction of chemical processes based on selective ensemble of local partial least squares models. Chem Eng Res Des 2015. [DOI: 10.1016/j.cherd.2015.01.006] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|