Development of a Multi-block Modified Independent Component Analysis based Process Monitoring Strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08010-5.pdf
Reference43 articles.
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3. Jiang, Q.; Yan, X.; Lv, Z.; Guo, M.: Independent component analysis-based non-Gaussian process monitoring with preselecting optimal components and support vector data description. Int. J. Prod. Res. 52(11), 3273–3286 (2014)
4. Chen, M.C.; Hsu, C.C.; Malhotra, B.; Tiwari, M.K.: An efficient ICA-DW-SVDD fault detection and diagnosis method for non-Gaussian processes. Int. J. Prod. Res. 54(17), 5208–5218 (2016)
5. Xu, C.; Huang, D.; Li, D.; Liu, Y.: Novel process monitoring approach enhanced by a complex independent component analysis algorithm with applications for wastewater treatment. Ind. Eng. Chem. Res. 60(38), 13914–13926 (2021)
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