A Stratified Multivariate Statistical Approach for Monitoring a Steel Manufacturing Facility
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Ocean Engineering,Aerospace Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40032-023-00959-4.pdf
Reference26 articles.
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3. Q. Jiang, B. Huang, Distributed monitoring for large-scale processes based on multivariate statistical analysis and Bayesian method. J. Process. Control. 46, 75–83 (2016). https://doi.org/10.1016/j.jprocont.2016.08.006
4. G.A. Cherry, S.J. Qin, Multiblock principal component analysis based on a combined index for semiconductor fault detection and diagnosis. IEEE Trans. Semicond. Manuf. 19(2), 159–172 (2006). https://doi.org/10.1109/TSM.2006.873524
5. Y. Zhang, H. Zhou, S.J. Qin, T. Chai, Decentralized fault diagnosis of large-scale processes using multiblock kernel partial least squares. IEEE Trans. Ind. Informat. 6(1), 3–10 (2010). https://doi.org/10.1109/TII.2009.2033181
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