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DTDR–ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2020.106508] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Wang Y, Yang K, Li H. Industrial time-series modeling via adapted receptive field temporal convolution networks integrating regularly updated multi-region operations based on PCA. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115956] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Wang Y, Zhang Y, Wu Z, Li H, Christofides PD. Operational trend prediction and classification for chemical processes: A novel convolutional neural network method based on symbolic hierarchical clustering. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115796] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Wang Y, Zhang Y, Li H. Adapted Receptive Field Temporal Convolutional Networks with Bar-Shaped Structures Tailored to Industrial Process Operation Models. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.9b06412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yongjian Wang
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 10029, China
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles 90095, California, United States
| | - Yichi Zhang
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles 90095, California, United States
| | - Hongguang Li
- College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 10029, China
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