Open Access
| Issue |
E3S Web Conf.
Volume 287, 2021
International Conference on Process Engineering and Advanced Materials 2020 (ICPEAM2020)
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 6 | |
| Section | Process Systems Engineering & Optimization | |
| DOI | https://doi.org/10.1051/e3sconf/202128703012 | |
| Published online | 06 July 2021 | |
- M. Choudhury, S. L. Shah, N. F. Thornhill, "Detection and quantification of control valve stiction, " the proceedings of DYCOPS 2004, (2004). [Google Scholar]
- M. S. Choudhury, M. Jain, S. L. Shah, J. Process control, 18, 232 (2008). [Google Scholar]
- C. Garcia, Control Eng. Pract, 16, 1231 (2008). [Google Scholar]
- R. B. di Capaci, C. Scali, Chem. Eng. Res. Des., 130, 230 (2018). [Google Scholar]
- H. Zabiri, M. Ramasamy, J. Process Control, 19, 1368 (2009). [Google Scholar]
- A. R. Venceslau, L. A. Guedes, D. R. Silva, "Artificial neural network approach for detection and diagnosis of valve stiction, " in Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), 1 (2012). [Google Scholar]
- W. K. Teh, H. Zabiri, Y. Samyudia, S. S. Jeremiah, B. Kamaruddin, A. A. A. M. Amiruddin, N. Ramli, Ind. Eng. Chem. Res., 57, 11350 (2018). [Google Scholar]
- A. A. A. M. Amiruddin, H. Zabiri, S. S. Jeremiah, W. K. Teh, B. Kamaruddin, Control Eng. Pract., 90, 63 (2019). [Google Scholar]
- N. Hatami, Y. Gavet, J. Debayle, "Classification of time-series images using deep convolutional neural networks," in Tenth International Conference on Machine Vision (ICMV 2017), 10696, 106960Y (2018). [Google Scholar]
- N. R. Vazquez, D. P. Fernandes, D. H. Chen, IJCEA, 10 (2019). [Google Scholar]
- C. Aldrich, "Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series, " in Time Series Analysis: IntechOpen (2019). [Google Scholar]
- A. Sipers, P. Borm, R. Peeters, Phys. Lett. A, 375, 2309 (2011). [Google Scholar]
- A. Krizhevsky, I. Sutskever, G. E. Hinton, Imagenet classification with deep convolutional neural networks, " in Advances in neural information processing systems, 1097 (2012). [Google Scholar]
- Y. Fu and C. Aldrich, Minerals Engineering, 132, 183 (2019). [Google Scholar]
- C. Aldrich and L. Auret, Unsupervised process monitoring and fault diagnosis with machine learning methods: Springer (2013). [Google Scholar]
- M. A. A. S. Choudhury, N. F. Thornhillb, S. L. Shah, Control Eng. Pract., 13, 641 (2005). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.