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SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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Zhang J, Chen M, Hong X. Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.06.039] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Zhong L, Chang Y, Wang F, Gao S. Distributed Operating Performance Assessment of the Plant-Wide Process Based on Data-Driven Hybrid Characteristics Decomposition. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c02565] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Linsheng Zhong
- College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Yuqing Chang
- College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
- State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
| | - Fuli Wang
- College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
- State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
| | - Shihong Gao
- College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
- Department of Automation, Shanxi University, Taiyuan 030006, China
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