Fault classification in the process industry using polygon generation and deep learning
Author:
Funder
Natural Resources Canada
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-021-01742-x.pdf
Reference66 articles.
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2. Ayubi Rad, M. A., & Yazdanpanah, M. J. (2015). Designing supervised local neural network classifiers based on EM clustering for fault diagnosis of Tennessee Eastman process. Chemometrics and Intelligent Laboratory Systems, 146, 149–157. https://doi.org/10.1016/j.chemolab.2015.05.013.
3. Bache, K., & Lichman, M. (2013). UCI machine learning repository.
4. Bajpai, P. (2018). Brief Description of the Pulp and Papermaking Process. In Biotechnology for pulp and paper processing (pp. 9–26). Springer.
5. Bathelt, A., Ricker, N. L., & Jelali, M. (2015). Revision of the tennessee eastman process model. IFAC-PapersOnLine, 48(8), 309–314.
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