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Song MJ, Ju SH, Lee JM. Soft sensor development based on just-in-time learning and dynamic time warping for multi-grade processes. KOREAN J CHEM ENG 2023. [DOI: 10.1007/s11814-022-1335-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
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2
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Yang Y, Lv H, Chen N. A Survey on ensemble learning under the era of deep learning. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10283-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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3
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Liu J, Sun D, Xiao Y, Chen J. Developing Tensor-Based Common and Special Feature Analysis for Comprehensive Monitoring of Complex Batch Processes. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jingxiang Liu
- School of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, P. R. China
| | - Deshun Sun
- Southern University of Science and Technology Hospital, Intelligent Medical Innovation Center, Shenzhen, 518071, China
| | - Yeliang Xiao
- School of General Education, Dalian Neusoft University of Information, Dalian 116023, P. R. China
| | - Junghui Chen
- Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li District, Taoyuan 32023, Taiwan, R.O.C
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4
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A Unified Just-in-Time Learning Paradigm and Its Application to Adaptive Soft Sensing for Nonlinear and Time-Varying Chemical Process. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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5
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6
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Integrating adaptive moving window and just-in-time learning paradigms for soft-sensor design. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.01.083] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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7
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Yuan X, Ou C, Wang Y, Yang C, Gui W. A novel semi-supervised pre-training strategy for deep networks and its application for quality variable prediction in industrial processes. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115509] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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8
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Deng CH, Wang XJ, Gu J, Wang W. The Online Soft Computing Models of key variables based on the Boundary Forest method. Soft comput 2019. [DOI: 10.1007/s00500-019-04584-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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9
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Liu Y, Liang Y, Gao Z. Industrial polyethylene melt index prediction using ensemble manifold learning-based local model. J Appl Polym Sci 2017. [DOI: 10.1002/app.45094] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Yi Liu
- Institute of Process Equipment and Control Engineering; Zhejiang University of Technology; Hangzhou 310014 People's Republic of China
| | - Yu Liang
- Institute of Process Equipment and Control Engineering; Zhejiang University of Technology; Hangzhou 310014 People's Republic of China
| | - Zengliang Gao
- Institute of Process Equipment and Control Engineering; Zhejiang University of Technology; Hangzhou 310014 People's Republic of China
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10
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Liu Y, Wu QY, Chen J. Active Selection of Informative Data for Sequential Quality Enhancement of Soft Sensor Models with Latent Variables. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.6b04620] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yi Liu
- Institute
of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou, 310014, People’s Republic of China
| | - Qing-Yang Wu
- Department
of Chemical Engineering, Chung-Yuan Christian University, Chung-Li,
Taoyuan, Taiwan, 32023, Republic of China
| | - Junghui Chen
- Department
of Chemical Engineering, Chung-Yuan Christian University, Chung-Li,
Taoyuan, Taiwan, 32023, Republic of China
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11
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Development of a soft sensor for processes with multiple operating regimes using adaptive multi-state partial least squares regression. J Taiwan Inst Chem Eng 2016. [DOI: 10.1016/j.jtice.2016.07.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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12
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A Novel Approach for Prediction of Industrial Catalyst Deactivation Using Soft Sensor Modeling. Catalysts 2016. [DOI: 10.3390/catal6070093] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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13
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Liu Y, Zhang Z, Chen J. Ensemble local kernel learning for online prediction of distributed product outputs in chemical processes. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2015.06.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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14
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Shao W, Tian X, Wang P. Supervised local and non-local structure preserving projections with application to just-in-time learning for adaptive soft sensor. Chin J Chem Eng 2015. [DOI: 10.1016/j.cjche.2015.11.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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15
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Zhang X, Li Y, Kano M. Quality Prediction in Complex Batch Processes with Just-in-Time Learning Model Based on Non-Gaussian Dissimilarity Measure. Ind Eng Chem Res 2015. [DOI: 10.1021/acs.iecr.5b01425] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Xinmin Zhang
- Information
Engineering School, Shenyang University of Chemical Technology, ShenYang 110142, P. R. China
| | - Yuan Li
- Information
Engineering School, Shenyang University of Chemical Technology, ShenYang 110142, P. R. China
| | - Manabu Kano
- Department
of Systems Science, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan
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16
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Liu Y, Gao Z. Industrial melt index prediction with the ensemble anti-outlier just-in-time Gaussian process regression modeling method. J Appl Polym Sci 2015. [DOI: 10.1002/app.41958] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Yi Liu
- Engineering Research Center of Process Equipment and Remanufacturing; Ministry of Education; Institute of Process Equipment and Control Engineering; Zhejiang University of Technology; Hangzhou 310014 People's Republic of China
| | - Zengliang Gao
- Engineering Research Center of Process Equipment and Remanufacturing; Ministry of Education; Institute of Process Equipment and Control Engineering; Zhejiang University of Technology; Hangzhou 310014 People's Republic of China
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