|
1
|
Open benchmarks for assessment of process monitoring and fault diagnosis techniques: A review and critical analysis. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
|
2
|
Mahmoud TA, Elshenawy LM. TSK fuzzy echo state neural network: a hybrid structure for black-box nonlinear systems identification. Neural Comput Appl 2022. [DOI: 10.1007/s00521-021-06838-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
|
3
|
Lemos T, Campos LF, Melo A, Clavijo N, Soares R, Câmara M, Feital T, Anzai T, Pinto JC. Echo State Network Based Soft Sensor for Monitoring and Fault Detection of Industrial Processes. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107512] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
|
4
|
Barredo Arrieta A, Gil-Lopez S, Laña I, Bilbao MN, Del Ser J. On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification. Neural Comput Appl 2021. [DOI: 10.1007/s00521-021-06359-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
|
5
|
Dong Z, Zhao P, Zheng J, Ji K, Chen Y, Fu J. Intelligent injection molding: Parameters self‐learning optimization using iterative gradient‐approximation adaptive method. J Appl Polym Sci 2021. [DOI: 10.1002/app.50687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Zhengyang Dong
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| | - Peng Zhao
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| | - Jianguo Zheng
- Technology Center Tederic Machinery Co., LTD. Hangzhou China
| | - Kaipeng Ji
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| | - Yuhong Chen
- Institute of Transparency Beijing Institute of Aeronautical Materials Beijing China
| | - Jianzhong Fu
- The State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering Zhejiang University Hangzhou China
- Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, College of Mechanical Engineering Zhejiang University Hangzhou China
| |
Collapse
|